CV

Publications

[Preprint] OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization

OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization. Gustaf Ahdritz, Nazim Bouatta, Sachin Kadyan, Qinghui Xia, William Gerecke, Timothy J O’Donnell, Daniel Berenberg, Ian Fisk, Niccolò Zanichelli, Bo Zhang, Arkadiusz Nowaczynski, Bei Wang, Marta M Stepniewska-Dziubinska, Shang Zhang, Adegoke Ojewole, Murat Efe Guney, Stella Biderman, Andrew M Watkins, Stephen Ra, Pablo Ribalta Lorenzo, Lucas Nivon, Brian Weitzner, Yih-En Andrew Ban, Peter K Sorger, Emad Mostaque, Zhao Zhang, Richard Bonneau, Mohammed AlQuraishi; bioRxiv 2022.11.20.517210; doi: https://doi.org/10.1101/2022.11.20.517210

A Recovery Algorithm and Pooling Designs for One-Stage Noisy Group Testing Under the Probabilistic Framework

Liu, Y., Kadyan, S., Pe’er, I. (2021). A Recovery Algorithm and Pooling Designs for One-Stage Noisy Group Testing Under the Probabilistic Framework. In: Martín-Vide, C., Vega-Rodríguez, M.A., Wheeler, T. (eds) Algorithms for Computational Biology. AlCoB 2021. Lecture Notes in Computer Science(), vol 12715. Springer, Cham.

[Preprint] A Recovery Algorithm and Pooling Designs for One-Stage Noisy Group Testing Under the Probabilistic Framework

Liu, Y., Kadyan, S., Pe’er, I. (2021). A Recovery Algorithm and Pooling Designs for One-Stage Noisy Group Testing Under the Probabilistic Framework. medRxiv 2021.03.09.21253193; doi: https://doi.org/10.1101/2021.03.09.21253193

Talks

Machine Learning on AWS for Life Sciences

November 28, 2022

Industry Talk at AWS re:Invent 2022, Las Vegas, California, USA

Teaching

Practical Deep Learning

Natural Language Processing