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

ABOUT

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.

Research Summary

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.

Research Interests

  • 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

Profile Highlights

  • 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

Contact

Office: 3401 Princeton Pike, Lawrence Township, NJ 08648