I am thrilled to announce my new role as Director of ML Research at Relation Therapeutics while keeping my academic appointments!
Exciting times are ahead for ML and drug discovery.
Read the press release on:
I am excited to join ELLIS - the European Laboratory for Learning and Intelligent Systems. Very grateful to fellows who supported me.
About ELLIS:
ELLIS is a pan-European AI network of excellence which focuses on fundamental science, technical innovation and societal impact. Founded in 2018, ELLIS builds upon machine learning as the driver for modern AI and aims to secure Europe’s sovereignty in this competitive field by creating a multi-centric AI research laboratory. ELLIS wants to ensure that the highest level of AI research is performed in the open societies of Europe and follows a three-pillar strategy to achieve that.
I am excited that our work from my time at Meta AI and collaboration with Helmholtz Munich on modeling single-cell perturbations (e.g., drugs, disease, CRISPR manipulations) is now featured on the cover of Molecular systems biology. Thanks to all collaborators and my co-authors for making this happen.
About the paper:
Lotfollahi, M+., Klimovskaia Susmelj+, A., De Donno, C+., Hetzel, L., Ji, Y., Ibarra, I. L., ... & Theis, F. J.[Molecular Systems Biology (2023)], [code], [Facebook AI blogpost], [state of AI report 2021], [featured cover].
I am greatly honored by Bayer Foundation by awarding me the "Early Excellence in Science Award" and recognizing my work on "developing machine learning algorithms to understand large-scale single-cell omics data in health and disease to ultimately facilitate the advancement of precision medicine and AI-assisted drug discovery." Big thanks to my family, previous and current collaborators, and mentors.
Proud that our paper on life-long and transfer learning for single-cell biology has been awarded among top 3 papers selected by anonymous reviewers from MDSI at Technical University of Munich. This was among the work done during my doctoral studies at Helmholtz Munich and Life science school at TUM.
About the paper:
Mapping single-cell data to reference atlases by transfer learning
Lotfollahi, M., Naghipourfar, M., Luecken, M. D., Khajavi, M., Büttner, M., Wagenstetter, M., Avsec, Ž., Gayoso, A., Yosef, N., Interlandi, M. & Others.[Nature Biotechnology (2022)], [code], [MDSI best paper award], [featured cover in Nature Biotechnology].