COMBO: CONTROL-BASED BIODESIGN OF MAMMALIAN CELL DYNAMICS
Lead Research Organisation:
University of Bristol
Department Name: Engineering Mathematics and Technology
Abstract
Systems Biologists, by combining cell biology with mathematical approaches, have shown that feedback loops in molecular regulatory networks tightly control cellular homeostasis and responses. The interplay between endogenous feedbacks and the extracellular environment results in complex and non-linear cellular dynamics.
Mathematical models can help in tackling this complexity, aiding in characterising the links between cellular dynamics and cell-decision making. However, the validity of models relies on modelling assumptions and the quality of data used for parameter fitting: stochasticity and noise limit the power of model predictions across Systems Biology and Systems Pharmacology applications.
Conversely, the forward engineering of exogenous gene expression dynamics that recapitulate native cellular behaviours, often used by Synthetic Biologists, is limited by poor robustness to physical parameter variations, diverse modular parts and choice of chassis.
To tackle these challenges, this Fellowship proposes to directly and automatically program complex dynamics in mammalian cells, by combining external feedback control to ensure robustness and a microfluidics/microscopy platform to observe and perturb cells in real-time.
Exploitation of this technology will allow to:
i) Unravel causation in coupled processes and dissect the role that temporal patterns across scales (i.e. gene expression dynamics and cell-cycle) play in stem cell fate, ultimately exploiting such dynamics for the design of superior stem cell culture protocols.
ii) Directly track from experiments non-linear biochemical dynamics, without the need of mathematical models, to quantitatively determine causes/robustness of complex native/engineered behaviours, respectively, using experimental and Control-Based Continuation.
Direct industrial applications will be explored, including the characterisation of stem cell culture protocols across culture scales, and the use of feedback control to design optimal drug dosing schedules for target cancer cell responses.
Our aims are underpinned by two highly synergetic research tracks at the interface of interdisciplinary disciplines. The combination of methodologies from control theory, Synthetic, Systems and Stem cell biology will provide a quantitative framework and highly novel tools to understand, steer and design mammalian cell dynamic phenotypes, with great potential for future therapeutic purposes.
Mathematical models can help in tackling this complexity, aiding in characterising the links between cellular dynamics and cell-decision making. However, the validity of models relies on modelling assumptions and the quality of data used for parameter fitting: stochasticity and noise limit the power of model predictions across Systems Biology and Systems Pharmacology applications.
Conversely, the forward engineering of exogenous gene expression dynamics that recapitulate native cellular behaviours, often used by Synthetic Biologists, is limited by poor robustness to physical parameter variations, diverse modular parts and choice of chassis.
To tackle these challenges, this Fellowship proposes to directly and automatically program complex dynamics in mammalian cells, by combining external feedback control to ensure robustness and a microfluidics/microscopy platform to observe and perturb cells in real-time.
Exploitation of this technology will allow to:
i) Unravel causation in coupled processes and dissect the role that temporal patterns across scales (i.e. gene expression dynamics and cell-cycle) play in stem cell fate, ultimately exploiting such dynamics for the design of superior stem cell culture protocols.
ii) Directly track from experiments non-linear biochemical dynamics, without the need of mathematical models, to quantitatively determine causes/robustness of complex native/engineered behaviours, respectively, using experimental and Control-Based Continuation.
Direct industrial applications will be explored, including the characterisation of stem cell culture protocols across culture scales, and the use of feedback control to design optimal drug dosing schedules for target cancer cell responses.
Our aims are underpinned by two highly synergetic research tracks at the interface of interdisciplinary disciplines. The combination of methodologies from control theory, Synthetic, Systems and Stem cell biology will provide a quantitative framework and highly novel tools to understand, steer and design mammalian cell dynamic phenotypes, with great potential for future therapeutic purposes.
Planned Impact
This Fellowship takes a multidisciplinary approach to apply Synthetic Biology and Control Engineering methodologies to steer mammalian cell phenotypes across applications, and has a potential impact on the:
1) Academic community
Outcomes of the proposed research will have important implications for the Synthetic Biology, Systems Biology and Pharmacology, Control Engineering and Stem Cell Biology communities (see "Academic beneficiaries" section). The immediate term impact will be promoted via scientific dissemination and discussion of findings within my network of interdisciplinary collaborators; immediate and long-term impact will be pursued by scientific publications in peer-reviewed journals and participation to international conferences. My involvement in the Bristol Institute for BioDesign, the Bristol Centre for Synthetic Biology and the Synthetic Biology CDT (Bristol, Oxford and Warwick Universities) will facilitate dissemination of project findings and foster novel collaborations.
2) Academic community/Bioindustry
A strong interaction between the academic community and industrial stakeholders is needed to realise the ambition of mammalian cell Synthetic Biology to transform common methodologies used in the Bioindustry. To disseminate results to a wider community, host presentations by leading groups and interact with industrial stakeholders, we will organise two workshops focused on exploring Synthetic Biology applications in Stem Cell Biology, and evaluating advances, opportunities and challenges in microfluidics-based Synthetic Biology approaches.
3) Bioindustry
Benefits of this Fellowship span a range of emerging markets: Synthetic Biology, Stem Cell Biology, Quantitative Systems Pharmacology. Indeed, the proposed research will lay the foundations for introducing automation and improving robustness in: i) mammalian stem cell cultures across scales; ii) optimisation of drug combination treatments in cancer; iii) design and prototyping synthetic gene circuits. The industrial support for the project from two partners (AstraZeneca, Cellesce) makes both the immediate and the long-term impact of the work clear. My further links to the bioindustry (through the Synthetic Biology CDT, SynbiCITE, and the UK Quantitative Systems Pharmacology network) will enable discussion about additional translation of research outcomes.
4) Research personnel involved in this project
The appointed PDRAs and PhD student will gain a number of cutting edge skills that will help them in their future academic or industrial career; this will result in long-term impact for the UK economy. I will provide continuous mentoring; I am experienced in working in both the experimental and the computational communities, and in leading interdisciplinary research teams. I will facilitate required training of the research personnel, their participation to conferences and seminars, and their direct interaction with the academic and industrial partners. If funded, this Fellowship will permit establishing myself as an international leader in mammalian cell Synthetic Biology, and developing new links with leading research institutes and biomedical industries.
5) General public
Synthetic Biology and Stem Cell Biology are topics of great interest and debate for general public. Sharing research hypothesis and results in a clear way is a fundamental part of my work. For immediate and long-term public engagement, I will disseminate project findings by taking part to public engagement activities organised by the University of Bristol and the Institutes of the project partners, and setting-up a project website.
1) Academic community
Outcomes of the proposed research will have important implications for the Synthetic Biology, Systems Biology and Pharmacology, Control Engineering and Stem Cell Biology communities (see "Academic beneficiaries" section). The immediate term impact will be promoted via scientific dissemination and discussion of findings within my network of interdisciplinary collaborators; immediate and long-term impact will be pursued by scientific publications in peer-reviewed journals and participation to international conferences. My involvement in the Bristol Institute for BioDesign, the Bristol Centre for Synthetic Biology and the Synthetic Biology CDT (Bristol, Oxford and Warwick Universities) will facilitate dissemination of project findings and foster novel collaborations.
2) Academic community/Bioindustry
A strong interaction between the academic community and industrial stakeholders is needed to realise the ambition of mammalian cell Synthetic Biology to transform common methodologies used in the Bioindustry. To disseminate results to a wider community, host presentations by leading groups and interact with industrial stakeholders, we will organise two workshops focused on exploring Synthetic Biology applications in Stem Cell Biology, and evaluating advances, opportunities and challenges in microfluidics-based Synthetic Biology approaches.
3) Bioindustry
Benefits of this Fellowship span a range of emerging markets: Synthetic Biology, Stem Cell Biology, Quantitative Systems Pharmacology. Indeed, the proposed research will lay the foundations for introducing automation and improving robustness in: i) mammalian stem cell cultures across scales; ii) optimisation of drug combination treatments in cancer; iii) design and prototyping synthetic gene circuits. The industrial support for the project from two partners (AstraZeneca, Cellesce) makes both the immediate and the long-term impact of the work clear. My further links to the bioindustry (through the Synthetic Biology CDT, SynbiCITE, and the UK Quantitative Systems Pharmacology network) will enable discussion about additional translation of research outcomes.
4) Research personnel involved in this project
The appointed PDRAs and PhD student will gain a number of cutting edge skills that will help them in their future academic or industrial career; this will result in long-term impact for the UK economy. I will provide continuous mentoring; I am experienced in working in both the experimental and the computational communities, and in leading interdisciplinary research teams. I will facilitate required training of the research personnel, their participation to conferences and seminars, and their direct interaction with the academic and industrial partners. If funded, this Fellowship will permit establishing myself as an international leader in mammalian cell Synthetic Biology, and developing new links with leading research institutes and biomedical industries.
5) General public
Synthetic Biology and Stem Cell Biology are topics of great interest and debate for general public. Sharing research hypothesis and results in a clear way is a fundamental part of my work. For immediate and long-term public engagement, I will disseminate project findings by taking part to public engagement activities organised by the University of Bristol and the Institutes of the project partners, and setting-up a project website.
Organisations
People |
ORCID iD |
Lucia Marucci (Principal Investigator / Fellow) |
Publications
Zhang D
(2022)
Advanced medical micro-robotics for early diagnosis and therapeutic interventions.
in Frontiers in robotics and AI
Ward D
(2020)
Cross-talk between Hippo and Wnt signalling pathways in intestinal crypts: Insights from an agent-based model.
in Computational and structural biotechnology journal
Shannon B
(2020)
In Vivo Feedback Control of an Antithetic Molecular-Titration Motif in Escherichia coli Using Microfluidics.
in ACS synthetic biology
Scott HL
(2020)
A dual druggable genome-wide siRNA and compound library screening approach identifies modulators of parkin recruitment to mitochondria.
in The Journal of biological chemistry
Rees-Garbutt J
(2020)
Furthering genome design using models and algorithms
in Current Opinion in Systems Biology
Rees-Garbutt J
(2021)
Testing Theoretical Minimal Genomes Using Whole-Cell Models.
in ACS synthetic biology
Rees-Garbutt J
(2021)
Minimal Genome Design Algorithms Using Whole-Cell Models.
in Methods in molecular biology (Clifton, N.J.)
Pedone E
(2021)
Cheetah: A Computational Toolkit for Cybergenetic Control.
in ACS synthetic biology
Pedone E
(2022)
ß-catenin perturbations control differentiation programs in mouse embryonic stem cells.
in iScience
Description | Preliminary outcomes include the development of control-based continuation strategies to automatically benchmark the dynamics of synthetic gene networks, and the improvement of methods we previously developed to control stem cell identity. Also, we have developed a novel microfluidic device for mammalian cell perturbation with 4 inputs, and long-term imaging (unpublished results). We initiated experiment with non small cell lung cancer cells, to predict optimal treatments which reduce toxicity and resistance. |
Exploitation Route | The research community might use the control-based continuation tools we are developing to test synthetic gene network dynamics. The microfluidics platform might be used by others. |
Sectors | Digital/Communication/Information Technologies (including Software) Education Manufacturing including Industrial Biotechology Pharmaceuticals and Medical Biotechnology |
Description | We provided new implementations of cybergenetics control for both bacteria and mammalian cells. Related knowledge is shared in lectures to undergraduate students (University of Bristol, 2022/23) and in taught units within PhD programmes. |
Impact Types | Cultural |
Description | Engineering Biology microlab participation: workshop organised by BBSRC, dstl and EPSRC to shape a National Programme for Engineering Biology. Participation was by invitation only. |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Description | 21ENGBIO Reprogramming bacterial cells using whole-cell models |
Amount | £100,677 (GBP) |
Funding ID | BB/W012235/1 |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 02/2023 |
End | 02/2024 |
Description | 23-AIBIO - Artificial Intelligence in the Biosciences - AIBIO-UK (22-AIBN) |
Amount | £1,711,234 (GBP) |
Funding ID | BB/Y006933/1 |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 08/2023 |
End | 08/2028 |
Description | APPLYING FEEDBACK CONTROL TO AUTOMATICALLY TRACK AND DESIGN COMPLEX DYNAMICS IN SYSTEMS AND SYNTHETIC BIOLOGY |
Amount | £85,000 (GBP) |
Funding ID | 2268760 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2019 |
End | 03/2023 |
Description | BrisEngBio: From Synthetic to Engineering Biology at Bristol |
Amount | £1,517,913 (GBP) |
Funding ID | BB/W013959/1 |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 01/2022 |
End | 01/2024 |
Description | Centre for Doctoral Training in Engineering Biology: EngBio CDT |
Amount | £8,974,476 (GBP) |
Funding ID | EP/Y034791/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2024 |
End | 10/2031 |
Description | DTP PhD scholarship, "Control-based continuation of biological systems" |
Amount | £85,000 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2019 |
End | 06/2023 |
Title | Algorithms for cell segmentation |
Description | We developed multiple algorithms for microscopy image segmentation (De Cesare et al, ACS Omega 2021; Pedone et al. ACS Synthetic Biology 2021). All code is open source |
Type Of Material | Technology assay or reagent |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | Automatic control of gene expression in mammalian cells, using online segmentation algorithms. |
URL | https://github.com/BiocomputeLab/cheetah |
Title | Computational toolkit for cybergenetic control |
Description | The computational platform allows deep-learning-based online cell segmentation and control. |
Type Of Material | Model of mechanisms or symptoms - in vitro |
Year Produced | 2020 |
Provided To Others? | Yes |
Impact | The code is open-source and easy to modify/adapt for other cell lines and microscopy settings. |
URL | https://github.com/BiocomputeLab/cheetah |
Title | Inducible system to perturb gene expression |
Description | The proposed inducible system allows modulating independently gene expression and protein stability by the addition of two orthogonal drugs. |
Type Of Material | Model of mechanisms or symptoms - in vitro |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | We used the tool to demonstrate the role of signalling pathway does in embryonic stem cell fate (DOI 10.1016/j.isci.2022.103756) |
Title | New microfluidic device |
Description | We developed a new microfluid device, that enables to continuously separates viable and non-viable T-cells according to their dielectric properties |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | Not know yet (recent publication) |
URL | https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/full/10.1002/elps.202100031 |
Title | Algorithms for cell segmentation |
Description | We developed new algorithms for cell segmentation, based on the Otsu methods (De Cesare et al. ACS Omega 2021) and deep-learning (Pedone et al. ACS Synthetic Biology 2021). |
Type Of Material | Computer model/algorithm |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | These algorithms enabled robust automatic feedback control of living cells. |
URL | https://www.github.com/BiocomputeLab/cheetah |
Title | Data associated to publication (Pedone et al, Nature Communications 10, 4481 (2019)) |
Description | All data generated in the publication are included. |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | The tools developed might support generating more precise and complex tools to manipulate gene expression in living cells. |
URL | https://www.nature.com/articles/s41467-019-12329-9#data-availability |
Title | Full pipeline for mammalian cell control |
Description | We reported in a book chapter (Khazim et al Synthetic Gene Circuits 2021) a full protocol to perform cybergenetics experiments in mammalian cells. |
Type Of Material | Data analysis technique |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | Still to be assessed (recent publication) |
Title | Multiscale mathematical model of intestinal organoids |
Description | We have developed an agent-based model, based on the modelling framework Chaste, which describes in 2D the dynamics of intestinal organoids; it captures the proliferation dynamics and stiffness of different cell types, their interaction with the environment, and recapitulates well experimental data we collected. The code is available on GitHub. |
Type Of Material | Computer model/algorithm |
Year Produced | 2023 |
Provided To Others? | Yes |
Impact | We have been contacted by 2 groups who are planning to adapt our code for modelling the dynamics of other types of organoids. |
URL | https://github.com/slmontes/SimpleCryptCount_Project/tree/main/2D%20Model%20in%20CHASTE |
Title | Segmentation software for intestinal organoids |
Description | We developed a novel algorithm that can segment both in-vitro and in-silico organoid images and retrieves an approximated number of crypts per organoid. |
Type Of Material | Data analysis technique |
Year Produced | 2023 |
Provided To Others? | Yes |
Impact | We have been contacted by research groups that want to use the code to analyse their images. |
URL | https://github.com/slmontes/SimpleCryptCount_Project |
Description | Collaboration on control of cancer cells |
Organisation | AstraZeneca |
Department | Research and Development AstraZeneca |
Country | United Kingdom |
Sector | Private |
PI Contribution | The collaboration focuses on the testing of new combination therapies for cancer cells, using microfluidics and feedback control. We are performing and analysing experiments. |
Collaborator Contribution | Cell lines and drugs, meetings. |
Impact | Too early to say. |
Start Year | 2020 |
Description | Collaboration on control of cancer cells |
Organisation | AstraZeneca |
Department | Research and Development AstraZeneca |
Country | United Kingdom |
Sector | Private |
PI Contribution | The collaboration focuses on the testing of new combination therapies for cancer cells, using microfluidics and feedback control. We are performing and analysing experiments. |
Collaborator Contribution | Cell lines and drugs, meetings. |
Impact | Too early to say. |
Start Year | 2020 |
Description | Collaboration on control-based continuation |
Organisation | Imperial College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We are developing strategies for cybergenetics control of biological systems. |
Collaborator Contribution | The partner is supporting this research bringing expertise in control based continuation. |
Impact | We have two preprints (https://doi.org/10.1101/695866, https://doi.org/10.1101/2021.12.21.473142); one of the two manuscripts is currently under review. Multidisciplinary collaboration; discipline involved: control engineering, nonlinear dynamics, synthetic biology. |
Start Year | 2018 |
Description | Collaboration on organoids modelling |
Organisation | University of Sheffield |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We are developing mathematical models of intestinal organoids. |
Collaborator Contribution | The partner is sharing expertise on the use of the agent-based simulation tool Chaste. |
Impact | Publications: https://doi.org/10.1016/j.csbj.2019.12.015 |
Start Year | 2016 |
Title | Computational toolkit for cybergenetic control |
Description | The computational platform allows integrated online cell segmentation and control. |
Type Of Technology | Software |
Year Produced | 2021 |
Open Source License? | Yes |
Impact | The code is open-source and easy to modify/adapt for other cell lines and microscopy settings. |
URL | https://pubs.acs.org/doi/abs/10.1021/acssynbio.0c00463 |
Title | Control-based continuation |
Description | The software allows to perform control-based continuation of non-linear gene expression dynamics, |
Type Of Technology | Software |
Year Produced | 2022 |
Open Source License? | Yes |
Impact | The code can simplify the analysis and prototyping of gene network dynamics. |
URL | https://github.com/lrenson/cbc-synbio-paper |
Title | Organoids' image analysis |
Description | The code allows to perform morphometric analysis of microscopy images from cultured organoids |
Type Of Technology | Software |
Year Produced | 2023 |
Impact | The tool is open source for academics and researchers in the field of organoid culture, growth and control |
URL | https://www.biorxiv.org/content/10.1101/2022.12.08.519603v1 |
Description | "AI, Engineering Biology and Beyond", a Turing Institute-organised workshop, invited talk |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | An interdisciplinary meeting to discuss research advances at the interface of AI with synthetic and engineering biology. |
Year(s) Of Engagement Activity | 2023 |
URL | https://homepages.inf.ed.ac.uk/doyarzun/turing-workshop/assets/pdf/Programme-AI-EngBio-Beyond.pdf |
Description | Banff International Research Station for Mathematical Innovation and Discovery "Emerging Mathematical Challenges in Synthetic Biological Network Design" symposium 2023, invited talk |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Interdisciplinary researchers met in hybrid format at the Banff International Research Station to discuss emerging mathematical challenges in designing synthetic gene networks. The workshop was organized around the following themes: (i) distributed & multi-cellular biological control; (ii) from modularity to robustness; (iii)biological context & control; and (iv) quantitative design & discovery. |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.birs.ca/events/2023/2-day-workshops/23w2007 |
Description | BioInfoSummer 2022, plenary talk, Melbourne |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | International systems bio and informatics summer school; keynote talk given to students, research associates and academic staff members. |
Year(s) Of Engagement Activity | 2022 |
URL | https://bis.amsi.org.au/program/#1545180202079-177125ae-5543 |
Description | BioPronet 2023 Annual Meeting |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Invited talk at the Biopronet annual meeting, attended by a mix of industrialists and academics working on bioprocessing. |
Year(s) Of Engagement Activity | 2023 |
URL | http://biopronetuk.org/ |
Description | Invited Seminar, Sheffield University, January 2023 (in person) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Postgraduate students |
Results and Impact | Invited talk to the Department of Chemical and Biological Engineering; attended by PhD students, postdocs and academics. |
Year(s) Of Engagement Activity | 2023 |
Description | Invited talk, Oxford University, Control Research Group |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Postgraduate students |
Results and Impact | I was invited to give a talk to the BioControl group; the seminar was attended by approx 30 people. The seminar was followed by 2 hours 1-to-1 meetings with PhD students and postdocs. |
Year(s) Of Engagement Activity | 2023 |
URL | https://eng.ox.ac.uk/control/seminars/ |
Description | Mammalian Synthetic Biology Workshop 2022, Edinburgh (UK) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Major international conference in mammalian cell synthetic biology. Antonella La Regina (research associate in my group) gave a talk about cybergenetics applications in stem cells. |
Year(s) Of Engagement Activity | 2022 |
URL | http://mammalian-synbio.org/2022 |
Description | Mathematics in Life Science meeting on "Linking Mathematics, Experiments and Data", Exeter, 2023 (invited talk) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | A meeting attended mainly by local academics working on system and synthetic biology. |
Year(s) Of Engagement Activity | 2023 |
URL | https://sites.exeter.ac.uk/csdc/2023/01/26/mathematics-in-life-science-meeting-on-linking-mathematic... |
Description | Oral Presentation, 2021 Virtual International Mammalian Synthetic Biology Workshop |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Research conference |
Year(s) Of Engagement Activity | 2021 |
URL | http://mammalian-synbio.org/2021 |
Description | Oral Presentation, Dynamics Days Digital 2020 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Conference attended mainly by academics |
Year(s) Of Engagement Activity | 2020 |
URL | https://www.danieleavitabile.com/ddd2020/ |
Description | Oral presentation at the "AI, Engineering Biology and Beyond" workshop, Edinburgh 2023 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Invited talk; the workshop (co-organised by the Turing institute) aims at showcasing and promoting use of AI in Engineering Biology |
Year(s) Of Engagement Activity | 2023 |
URL | https://homepages.inf.ed.ac.uk/doyarzun/turing-workshop/assets/pdf/Programme-AI-EngBio-Beyond.pdf |
Description | Oral presentation, 10th European Nonlinear Dynamics Conference (ENOC) |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Prestigious international conference about nonlinear dynamics, attended mainly by academics. Talk was given by Irene de Cesare (PhD student in my group). |
Year(s) Of Engagement Activity | 2022 |
URL | https://enoc2020.sciencesconf.org/ |
Description | Society for Industrial and Applied Mathematics (SIAM) Annual Meeting 2022, Pittsburgh (US). |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | One of the main international conference in dynamical system. Talk about nonlinear continuation given by my PhD student Mark Blyth. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.siam.org/conferences/cm/conference/an22 |
Description | Swiss-UK Synthetic Biology Symposium 2023, invited talk, Lausanne (Switzerland). |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | The conference |
Year(s) Of Engagement Activity | 2023 |
URL | https://swissuk-synbio.cailab.org/wp-content/uploads/1692/15/swissuk-program.pdf |
Description | Synthetic Biology UK 2022, keynote talk, Newcastle (UK) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Invited talk to the major synthetic biology conference in the UK. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.eventsforce.net/biochemsoc/frontend/reg/thome.csp?pageID=65741&eventID=132&traceRedir=2 |
Description | The European laboratory research & innovation group (ELRIG) Research & Innovation 2023; invited talk |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | The 2023 ELRIG Research & Innovation conference discussed how emerging biology technologies are pioneering the medicines of tomorrow. The conference brought together scientists, researchers and entrepreneurs, and comprised the following four main sessions: 1) Synthetic biology: genetically programmed healthcare. 2) Ultra-rare disease drug discovery and personalized therapies. 3) Age-Old Challenges, Modern Solutions: The Role of Geroscience In Addressing Age-Related Diseases. 4) The Rise of AI Driven Drug Discovery. |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.elrig.org/wp-content/uploads/2023/03/RESEARCH-INNOVATION-2023-PDF-PROGRAMME-1.pdf |