Workshop Schedule
October 7, 2022
Event Goal: Host 10 talks and a self-catered networking lunch on research at the intersection of synthetic biology and machine learning. Talks will be 20 minutes each, with 10 minutes of question and discussion time.
Event Location: Humboldt-Universität zu Berlin, Philippstr. 13, 10115 Berlin, House 18, Room “Maud-Menten”.
Agenda
- 10:00 Ioana Gherman, University of Bristol
- Accelerating whole-cell modelling with surrogate machine learning models
- 10:30 Dilan Pathirana, University of Bonn
- Efficient brute-force model selection by iterative elimination of less-useful moel subspaces
- 11:00 Evangelos-Marios Nikolados, University of Edinburgh
- Accuracy and data efficiency in deep learning sequence-to-expression models
- 11:30 St. Elmo Wilken, Heinrich Heine Universität Düsseldorf
- Interrogating the effect of enzyme kinetics on metabolism using diferentiable constraint-based models
- 12:00 Jordan Conolly, Newcastle University
- Challenges and Prospects of Machine Learning applied to Nucleic Acid Origami
12:30 Networking Lunch
- 1:30 Charlotte Merzbacher, University of Edinburgh
- A fast and scalable machine learning approach for dynamic metabolic engineering
- 2:00 Xavier Hernandez-Allas, Centre for Genomic Regulation, Barcelona
- Tissue-specific codon usage: from systems to synthetic biology
- 2:30 Melania Nowicka, Freie Universität Berlin
- Learning synthetic cell classifier designs with genetic algorithms and logic programming
- 3:00 Yu Wang, KTH Royal Institute of Technology, Stockholm
- Feasibility of learning interactions between synthetic circuit and host cell from perturbation experiments
- 3:30 Maren Philipps, University of Bonn
- Hybrid mechanistic and deep learning modeling in systems biology
4:00 Event ends