New preprint: overcoming the accuracy-generalization tradeoff in docking and scoring for prospective virtual screening. Read the paper

Vahagn Altunyan

Vahagn Altunyan

ML Engineer

Vahagn Altunyan is a Machine Learning Engineer at Deep Origin, where he develops AI-driven methods to accelerate computational chemistry and molecule design. He is pursuing a PhD at Yerevan State University, building on a master’s and bachelor’s in Computer Science from YSU. His prior experience includes machine learning roles at Biosim, content engineering at CodeSignal, and teaching at the American University of Armenia. Vahagn’s expertise spans machine learning, deep learning, and computational chemistry for biomedical R&D.