Today, I started my research internship at BHK LAB in Princess Margaret Cancer Centre in Toronto. I am very excited to learn from one of the leading teams on pharmacogenomics in the world.
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AITL got ACCEPTED at ISMB 2020
Adversarial adaptation and multi-task learning
Our paper “AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics” got accepted at ISMB 2020 and will appear at the Bioinformatics journal!
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AITL preprint on transfer learning
Adversarial adaptation and multi-task learning
Our most recent preprint is out! AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics
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Recent MLCB posters
Drug response prediction
I had two poster papers at Machine Learning in Computational Biology (MLCB) co-located with NeurIPS 2019 in Vancouver. We worked on drug response prediction from transfer learning point of view and knowledge-based networks point of view.
The BDKANN method
Drug response prediction
Our most recent pre-print on knowledge-based deep neural networks for drug response prediction: BDKANN – Biological Domain Knowledge-based Artificial Neural Network for drug response prediction
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