Data Science Intern
CurrentAs part of the RAIDERS team focused on accelerating the work of AbbVie’s R&D community using AI, I worked on a deep generative model using tensor-train decomposition, encoder-decoders and reinforcement learning to streamline the generation of desirable compounds.I implemented adjustable parameters which allows AbbVie's in-house chemists to tailor drug properties precisely. This customization enhances drug development efficiency, empowering scientists to explore more compound variations and accelerate the discovery of viable drug candidates.By reducing the time required for drug discovery, the model contributes to faster development advancements in the discovery of new drugs, ultimately improving patient outcomes and driving innovation in the field of medicine.
