Abhishek K Dubey
Senior manager, Global Biometrics and Data Sciences, BMS
Research fellow, Cancer Data Science Laboratory, NCI
Postdoc, Advanced Computing for Health Sciences, ORNL
Ph.D., Computer Science, Duke University
B.Tech., Computer Science and Engineering, IIT Kharagpur
I am healthcare professional with strong leadership, problem-solving, and communication skills. I have an impeccable academic record throughout undergraduate and graduate studies with a proven ability for research design, coordinating, and executing research strategies in a distinguished career at top research institutions.
I am currently a senior manager in Global Biometrics and Data Sciences at Bristol-Myers Squibb. Previously, I was a research fellow in Cancer Data Science Laboratory at National Cancer Institute for 1 year. Before that, I was a postdoc in Advanced Computing for Health Sciences at Oak Ridge National Laboratory for 2 years. I completed my Ph.D. in Computer Science at Duke University under the supervision of Prof. Xiaobai Sun in 2018. I completed my B.Tech in Computer Science at Indian Institute of Technology Kharagpur in 2009.
My research focus is on developing statistical and artificial intelligence solutions in clinical and research settings with attention to both advancing foundations of learning and clinical decision-making. Originally trained as a computer scientist, I studied data analysis in biomedical research for over 7 years during my Ph.D. and postdoctoral research. My previous and current work has involved several major areas: (a) Computational pathology; (b) Computational anatomy; (c) Single-molecule fluorescence barcoding; (d) Information extraction from medical reports; (e) Computer-aided diagnosis in chest radiographs; (f) Interpretable and reliable deployment of deep learning models; (g) Cancer survival modeling. I have authored 12 scientific papers and 8 abstracts in peer-reviewed conferences and journals. A complete list of my publications is included in my full CV. I am also serving as a reviewer in scientific journals Journal of Biomedical and Health Informatics, Neural Processing Letters, and IEEE Access.
Deep learning: Multitask learning, Multi-instance learning, Model reduction/distillation, Domain adaptation, Distributed training, Deep kernel learning
Medical image analysis: Thoracic CT Image registration, Abnormality detection in chest radiographs
Bioimaging: Single molecule barcoding
Text analysis: Information extraction from medical reports
Cancer Research: Image differential analysis between case and control, Computational histopathology, Cancer survival analysis, human Interpretable biomarker discovery
Clinical oncology trial
Senior manager in Global Biometrics and Data Sciences at BMS, 2021-present
Research fellow in Cancer Data Science Laboratory, NCI, 2020-2021
Postdoctoral researcher in AI, ORNL, 2018-2020
Ph.D. in Computer Science, Duke University, 2012-2018
Research intern at IBM Research, Almaden, summer 2014
Oracle India, Technical staff member, 2009-2012
B.Tech in Computer Science, IIT Kharagpur, 2005-2009
Research intern at EPFL Switzerland, summer 2008
Office: 3401 Princeton Pike, Lawrence Township, NJ 08648