Applied Research Manager, NVIDIA Virtual Cell Team
I am an Applied Research Manager on NVIDIA’s Virtual Cell team. Our team uses data, deep learning, and HPC to develop models that simulate cellular states. My focus is on the benchmarks and development of supporting tools that help evaluate and improve these models.
Previously I was a Senior Machine Learning Engineer and Data Scientist at BenevolentAI and a member of Arthur Palmer’s research group where I developed and applied nuclear magnetic resonance (NMR) spin relaxation experiments to understand how enzyme dynamics are critical to biological function.
E. Sevgen, J. Moller, A. Lange, J. Parker, S. Quigley, J. Mayer, P. Srivastava, S. Gayatri, D. Hosfield, M. Korshunova, M. Livne, M. Gill, R. Ranganathan, A.B. Costa, and A.L. Ferguson
ProT-VAE: Protein transformer variational autoencoder for functional protein design.
Proceedings of the National Academy of Sciences122 (2025)
@article{sevgen2025protvae,title={ProT-VAE: Protein transformer variational autoencoder for functional protein design},author={Sevgen, E. and Moller, J. and Lange, A. and Parker, J. and Quigley, S. and Mayer, J. and Srivastava, P. and Gayatri, S. and Hosfield, D. and Korshunova, M. and Livne, M. and Gill, M. and Ranganathan, R. and Costa, A.B. and Ferguson, A.L.},journal={Proceedings of the National Academy of Sciences},volume={122},number={41},year={2025},doi={10.1073/pnas.2408737122},recent={true},}
P. St. John, D. Lin, P. Binder, M. Greaves, V. Shah, J. St. John, A. Lange, P. Hsu, R. Illango, A. Ramanathan, A. Anandkumar, D.H. Brookes, A. Busia, A. Mahajan, S. Malina, N. Prasad, S. Sinai, L. Edwards, T. Gaudelet, C. Regep, M. Steinegger, B. Rost, A. Brace, K. Hippe, L. Naef, K. Kamata, G. Armstrong, K. Boyd, Z. Cao, H.Y. Chou, S. Chu, A. Santos Costa, S. Darabi, E. Dawson, K. Didi, C. Fu, M. Geiger, M. Gill, D.J. Hsu, G. Kaushik, M. Korshunova, S. Kothen-Hill, Y. Lee, M. Liu, M. Livne, Z. McClure, J. Mitchell, A. Moradzadeh, O. Mosafi, Y. Nashed, S. Paliwal, Y. Peng, S. Rabhi, F. Ramezanghorbani, D. Reidenbach, C. Ricketts, B.C. Roland, K. Shah, T. Shimko, H. Sirelkhatim, S. Srinivasan, A.C. Stern, D. Toczydlowska, S.P. Veccham, N.A.E. Venanzi, A. Vorontsov, J. Wilber, I. Wilkinson, W.J. Wong, E. Xue, C. Ye, X. Yu, Y. Zhang, G. Zhou, B. Zandstein, A. Chacon, P. Sohani, M. Stadler, C. Hundt, F. Zhu, C. Dallago, B. Trentini, E. Kucukbenli, T. Rvachov, E. Calleja, J. Israeli, H. Clifford, R. Haukioja, N. Haemel, K. Tretina, N. Tadimeti, and A.B. Costa
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery.
@article{stjohn2024bionemo,title={BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery},author={St. John, P. and Lin, D. and Binder, P. and Greaves, M. and Shah, V. and St. John, J. and Lange, A. and Hsu, P. and Illango, R. and Ramanathan, A. and Anandkumar, A. and Brookes, D.H. and Busia, A. and Mahajan, A. and Malina, S. and Prasad, N. and Sinai, S. and Edwards, L. and Gaudelet, T. and Regep, C. and Steinegger, M. and Rost, B. and Brace, A. and Hippe, K. and Naef, L. and Kamata, K. and Armstrong, G. and Boyd, K. and Cao, Z. and Chou, H.Y. and Chu, S. and dos Santos Costa, A. and Darabi, S. and Dawson, E. and Didi, K. and Fu, C. and Geiger, M. and Gill, M. and Hsu, D.J. and Kaushik, G. and Korshunova, M. and Kothen-Hill, S. and Lee, Y. and Liu, M. and Livne, M. and McClure, Z. and Mitchell, J. and Moradzadeh, A. and Mosafi, O. and Nashed, Y. and Paliwal, S. and Peng, Y. and Rabhi, S. and Ramezanghorbani, F. and Reidenbach, D. and Ricketts, C. and Roland, B.C. and Shah, K. and Shimko, T. and Sirelkhatim, H. and Srinivasan, S. and Stern, A.C. and Toczydlowska, D. and Veccham, S.P. and Venanzi, N.A.E. and Vorontsov, A. and Wilber, J. and Wilkinson, I. and Wong, W.J. and Xue, E. and Ye, C. and Yu, X. and Zhang, Y. and Zhou, G. and Zandstein, B. and Chacon, A. and Sohani, P. and Stadler, M. and Hundt, C. and Zhu, F. and Dallago, C. and Trentini, B. and Kucukbenli, E. and Rvachov, T. and Calleja, E. and Israeli, J. and Clifford, H. and Haukioja, R. and Haemel, N. and Tretina, K. and Tadimeti, N. and Costa, A.B.},journal={arXiv},year={2024},doi={10.48550/arXiv.2411.10548},recent={true},}
M.T. Strauss, I. Bludau, W.F. Zeng, E. Voytik, C. Ammar, J. Schessner, R. Illango, M.L. Gill, F. Meier, S. Willems, and M. Mann
AlphaPept, a modern and open framework for MS-based proteomics.
@article{strauss2024alphapept,title={AlphaPept, a modern and open framework for MS-based proteomics},author={Strauss, M.T. and Bludau, I. and Zeng, W.F. and Voytik, E. and Ammar, C. and Schessner, J. and Illango, R. and Gill, M.L. and Meier, F. and Willems, S. and Mann, M.},journal={Nature Communications},volume={15},year={2024},doi={10.1038/s41467-024-46485-4},recent={true},}
