Scholar
Arian Jamasb
Google Scholar ID: hYm9a-UAAAAJ
Principal ML Scientist, Prescient Design
Citations & Impact
Citations
2,296
H-index
17
i10-index
21
Publications
20
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- [{'Type': 'Book Chapters', 'Title': 'Deep Learning for Protein-Protein Interaction Site Prediction', 'Authors': 'Arian R. Jamasb, Ben Day, Cătălina Cangea, Pietro Liò, Tom L. Blundell', 'Publication': 'Proteomics Data Analysis. Methods in Molecular Biology', 'Year': '2021'}, {'Type': 'Peer-reviewed', 'Title': 'gRNAde: Geometric Deep Learning for 3D RNA inverse design', 'Authors': 'Chaitanya K. Joshi, Arian R. Jamasb, Ramon Viñas, Charles Harris, Simon V. Mathis, Alex Morehead, Rishabh Anand, Pietro Liò', 'Publication': 'ICLR (Spotlight)', 'Year': '2025'}, {'Type': 'Peer-reviewed', 'Title': 'Structure-based Drug Design with Equivariant Diffusion Models', 'Authors': 'Arne Schneuing, Yuanqi Du, Charles Harris, Kieran Didi, Arian R. Jamasb, Ilia Igashov, Weitao Du, Tom Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael Bronstein, Bruno Correia', 'Publication': 'Nature Computational Science', 'Year': '2024'}, {'Type': 'Peer-reviewed', 'Title': 'Ensemble Guidance: Towards Generative 3D SBDD in Bioactive Chemical Spaces', 'Authors': 'Charlie Harris, Arian R. Jamasb, Pietro Lio, Tom L. Blundell', 'Publication': 'ICML-W AI4Science, ICML-W ML4LMS', 'Year': '2024'}, {'Type': 'Peer-reviewed', 'Title': 'RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design', 'Authors': 'Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian R. Jamasb, Charlie Harris, Simon V. Mathis, Kieran Didi, Bryan Hooi, Pietro Lio', 'Publication': 'ICML-W SPIGM (Oral), ICML-W AI4Science (Spotlight)', 'Year': '2024'}, {'Type': 'Peer-reviewed', 'Title': 'Structure-based drug design by denoising voxel grids', 'Authors': 'Pedro O. Pinheiro, Arian R. Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi', 'Publication': 'ICML', 'Year': '2024'}, {'Type': 'Peer-reviewed', 'Title': 'Machine Learning-Aided Generative Molecular Design', 'Authors': 'Yuanqi Du*, Arian R. Jamasb*, Jeff Guo*, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, Tom L. Blundell', 'Publication': 'Nature Machine Intelligence', 'Year': '2024'}, {'Type': 'Peer-reviewed', 'Title': 'Evaluating Representation Learning on the Protein Structure Universe', 'Authors': 'Arian R. Jamasb*, Alex Morehead*, Chaitanya K. Joshi*, Zuobai Zhang*, Kieran Didi, Simon V. Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom Leon Blundell', 'Publication': 'ICLR', 'Year': '2024'}, {'Type': 'Peer-reviewed', 'Title': 'Benchmarking Generated Poses: How Rational is Structure-based Drug Design with Generative Models?', 'Authors': 'Charlie Harris, Kieran Didi, Arian R. Jamasb, Chaitanya K. Joshi, Simon V. Mathis, Pietro Lio, Tom L. Blundell', 'Publication': 'NeurIPS-W M', 'Year': '2023'}]
Research Experience
- [{'Position': 'Principal Machine Learning Scientist', 'Institution': 'Prescient Design', 'Time': '2022-'}, {'Position': 'Visiting Researcher', 'Institution': 'EPFL', 'Time': '2022', 'Supervisor': 'Prof Bruno Correia'}, {'Position': 'Visiting Researcher', 'Institution': 'MILA', 'Time': '2021', 'Supervisor': 'Prof Jian Tang'}, {'Position': 'AI Resident', 'Institution': 'X - The Moonshot Factory (formerly Google X)', 'Time': '2021'}, {'Position': 'ML Consultant', 'Institution': 'Relation Therapeutics', 'Time': '2020-2021'}, {'Position': 'Graduate Research Assistant', 'Institution': 'Drosophila Connectomics Group', 'Time': '2017-2018', 'Supervisor': 'Dr Greg Jefferis'}, {'Position': 'Undergraduate Research Assistant', 'Institution': 'Gilestro Lab', 'Time': '2016-2017', 'Supervisor': 'Dr Giorgio Gilestro'}]
Background
- Fascinated by how we can develop and better apply technologies to understand biological systems. This has taken him through classical biochemistry, scanning whole mouse brains to better understand processes of aging, the neurobiology of sleep & sexual behaviour in animals, deep into the circuitry of the fruit fly brain to unpick the wiring of innate behaviours and learning & memory, and, finally, to the circus that is deep learning to improve drug discovery.
