I am a computational scientist in the Windreich Department of AI and Human Health at the Icahn School of Medicine at Mount Sinai. I am passionate about developing machine learning algorithms to solve real world problems at the intersection of precision oncology, digital health and medical big-data. I completed my Ph.D. in Biomedical Engineering from Case Western Reserve University, Cleveland, USA. Previously, I completed my Masters in Electronics and Electrical Engineering, specializing in statistical signal processing and machine learning, from IIT Guwahati, India. I did my undergrad (B. Tech) in Electronics and Communication Engineering from Punjab Technical University, Jalandhar, Punjab. I developed strong analytical, programming and technical communication skills through my work at the crossroads of machine learning, signal and image processing, and computational cancer research.
Quick links: Google Scholar Linkedin GitHub Courses Research Highlights
Quick links: Google Scholar Linkedin GitHub Courses Research Highlights
Research interests: Machine Learning, Deep Learning, Medical Image Analysis, Computational Pathology. For more details please refer to the research tab.
Updates
Education
Experience
- I recently co-organized an international competition on multi-organ nuclei segmentation and classification (MoNuSAC) at the IEEE International Symposium on Biomedical Imaging 2020. This competition will push state-of-the-art in generalized segmentation of tumor nuclei and tumor associated immune cells. Click here for challenge details.
- I previously co-organized an international competition on multi-organ nuclei segmentation (MoNuSeg) from H&E stained tissue images at MICCAI 2018 where 32 teams from 11 countries made to the final rankings.
Education
- Ph. D. in Biomedical Engineering, (2017 - 2021)
- M. Tech in Electronics and Electrical Engineering, (2014 - 2016)
- B.Tech (with distinction) in Electronics and Communication Engineering, (2009 - 2013)
Experience
- Machine Learning Intern, Advanced Technology Team, Alberta Machine Intelligence Institute (Amii), Edmonton, AB, Canada (Jan- Apr 2022)
- Graduate Research Assistant, Department of Computing Science, University of Alberta, Edmonton, AB, Canada (May - Aug 2021)
- Graduate Research Intern, Department of Medicine, University of California San Francisco, San Francisco, CA, USA (May - Aug 2020)
- Graduate Research Assistant, Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA (Aug 2017 - Dec 2021)
- Graduate Research Assistant, Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, India (July 2014 - Dec 2016)
- Junior Research Fellow, Department of Biomedical Engineering, Institute of Nuclear Medicine and Allied Sciences - Defense Research and Development Organization, New Delhi, India (Dec 2013 - Feb 2014)
Awards and Honors
- Awarded Doctoral Excellence Award from the Department of Biomedical Engineering, Case Western Reserve University, OH, USA
- Awarded travel grant of $1000 from Case Comprehensive Cancer Center to attend SPIE Medical Imaging 2019 in San Diego, CA
- Awardee of commonwealth scholarship 2017 by UK Department for International Development (DFID)
- Awarded travel grant of $1000 from IEEE Signal Processing Society to attend ICIP 2016 in Phoenix, AZ
- Qualified Council for Scientific and Industrial Research exam (UGC-CSIR NET) with AIR 136 out of a million students
- Awarded gold Medal for 1st position during my undergraduate studies
- Awarded an excellent academic record scholarship by SHDF (via Nishkam), covering a semester fee during my undergraduate studies
- Awarded second prize in paper presentation on National science day during my undergraduate studies
