Tymor Hamamsy

Cofounder @fermatslibrary. PhD student @nyu.

[Kevin K. Yang 楊凱筌 @KevinKaichuang]

Use contrastive learning to finetune protein language model embeddings for structural and functional information, then combine into one database for fast search and annotation.

https://t.co/aEDLaxDl7v

@THamamsy Meet Barot @jamietmorton @thesteinegger @RichBonneauNYC @kchonyc

[Kyunghyun Cho @kchonyc]

very thrilled about this work, and even more thrilled because i think we can do even better!

[bioRxiv Bioinfo @biorxiv_bioinfo]

Learning sequence, structure, and function representations of proteins with language models https://t.co/EpHVxZkQYs #biorxiv_bioinfo

[General Catalyst @generalcatalyst]

How can we make healthcare systems more financially resilient?

Enter Phare Health - an AI-native financial OS.

We're thrilled to lead its seed & welcome @martin_sen, Lee, @THamamsy, & team to the GC family!

By @chriswbischoff & @AlexandreMomeni ↓
https://t.co/xzz5enIY4k

[NYU Center for Data Science @NYUDataScience]

CDS PhD student Tymor Hamamsy (@THamamsy) & team (including @kchonyc) take #bioinformatics to new heights with structure-aware sequence search and LLMs. Potential game-changer for drug discovery & more! #datascience #machinelearning

https://t.co/T889G3EpiT

[Nature Biotechnology @NatureBiotech]

Protein remote homology detection and structural alignment using deep learning https://t.co/AaNn9rdTCd

[Richard Bonneau @RichBonneauNYC]

We present some progress on using ML to improve the most common bioinformatics task: searching for related sequences.

Some new work with @kchonyc @THamamsy @jamietmorton and a few gRED and Prescient people.

https://t.co/yDYXIrVbGK