
Akshat Nigam
@akshat_ai
CTO @KlyneAI; drug discovery; protein modeling & machine learning.
Prev: PhD @Stanford CS. @StanfordBioX Fellow.
ID: 719761285190131712
https://akshat998.github.io/akshat98_webpage/ 12-04-2016 05:37:17
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Always a pleasure to be working with Mohammad Ghazi Vakili & Alan Aspuru-Guzik 😁











We show how to estimate the impact of research ideas before they were even born -- just published in Machine Learning: Science and Technology [paper] iopscience.iop.org/article/10.108… [GitHub]: github.com/artificial-sci… spearheaded by Xuemei Gu Important for future artificial muses, to generate impactful new ideas.


We're thrilled to be working with David Sinclair! At Klyne, we're focused on tackling some of the toughest, most impactful diseases out there. Got a biotech problem you're working on? Let's talk → [email protected] 👀

🚨 New paper out in Chemical Reviews! "Studying Noncovalent Interactions in Molecular Systems with Machine Learning" 🔗pubs.acs.org/doi/10.1021/ac… Thrilled to have worked with Serhii Tretiakov and the brilliant team in Robert Pollice’s group on this! Also proud to share this as the



🚀 Exciting to see our collaboration with Cerebrum DAO featured on their latest podcast with our COO Luis Rios and Brian Magierski bio/acc! At Klyne, we were thrilled to support this initiative with our short simulation technique, enabling fast and accurate binding affinity calculations
