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个人简介
Recently, I have become interested in the application of generative models in the biomedical domain, with a focus on protein and antibody design. The main guiding principle here is leveraging well-established pre-trained foundational models and re-prurposing them to the task at hand. For instance, I have proposed methods to distill AlphaFold’s metrics to develop more accurate and efficient inverse folding models. Additionally, I have explored the use of pre-trained language models for antibody sequence design using model reprogramming. I am also investigating the use of denoising-diffusion image models for conditional protein structure generation.
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论文共 37 篇作者统计合作学者相似作者
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Payel Das,Subhajit Chaudhury, Elliot Nelson,Igor Melnyk, Sarath Swaminathan,Sihui Dai,Aurélie Lozano, Georgios Kollias,Vijil Chenthamarakshan, Jiří, Navrátil,Soham Dan,
arxiv(2024)
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Brian Belgodere,Pierre Dognin,Adam Ivankay,Igor Melnyk,Youssef Mroueh,Aleksandra Mojsilovic, Jiri Navratil, Apoorva Nitsure,Inkit Padhi,Mattia Rigotti,Jerret Ross,Yair Schiff,
CoRR (2023)
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Apoorva Nitsure,Youssef Mroueh,Mattia Rigotti,Kristjan Greenewald,Brian Belgodere,Mikhail Yurochkin, Jiri Navratil,Igor Melnyk,Jerret Ross
CoRR (2023)
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ICLR 2023 (2022)
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