Nilay Vora
Principal Scientist in Computational Image Analysis @ Regeneron
- Role
- Principal Scientist in Computational Image Analysis at Regeneron
- Location
- Tarrytown, NY, US
- LinkedIn followers
- 500 followers
About Nilay Vora
Five years of experience within the field of biomedical imaging and Health AI. I am currently working on developing deep learning algorithms for denoising low-SNR biological images and restoring underlying biological metric used to classify cervical pre-cancer. Additionally, I have designed ML algorithms for detection of rare cellular events in whole blood using label-free flow cytometry. I am passionate about developing new methods and techniques to analyze large datasets through the use of deep learning and machine learning algorithms.Competencies: Machine Learning, MATLAB, Python, Pytorch, Tensorflow, Lab View, and Data Analysis.
Experience
Principal Scientist in Computational Image Analysis
Dec 2025 — Present · Tarrytown, NY, US
Education
Rutgers University
Bachelor of Science - BS, Biomedical/Medical Engineering
2014
Rutgers University
Minor, Mathematics
2014 — 2018
Rutgers University
Minor, Biology/Biological Sciences, General
2014 — 2018
Tufts University
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering
Skills
- Customer Service
- Tennis
- Sports Coaching
- Public Speaking
- Digital Photography
- Microsoft Powerpoint
- Event Planning
- Leadership
- Photography
- Teamwork
- Team Management
- Teaching
- Photoshop
- Microsoft Word
- Team Leadership
- Microsoft Excel
- Powerpoint
- Microsoft Office
- Matlab
- Social Media
- Computer Proficiency
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