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Anish P

- Research Program Mentor

MS at Columbia University


Neurodegenerative Diseases (Glaucoma, Alzheimers, Parkinsons, etc), Neuroimaging Technologies (MRI, CT, etc.), Neurotrauma (Concussions, Blast impact), Sports Medicine (new treatments, diagnostic tests), Medical Device ideation and design for underserved communities, Anything related to statistical analysis and/or data science (any industry/subject area)


I studied Bioengineering at the University of Pittsburgh and have conducted research within the school of engineering and University of Pittsburgh Medical Center. I have experience working in a Molecular Imaging Lab studying Sickle Cell Disease. I have worked in a biomechanics lab studying the collagen structure of the sclera to better understand Glaucoma. Lastly, I have experience conducting research directly with patients as a member of the UPMC Sports Medicine Concussion Research program. I recently completed my Masters degree in Biomedical Engineering Columbia University and have wanted to build on my mentoring experience from undergrad as I transition into data science roles in industry (I currently work as a Data Scientist for Mckesson - CoverMyMeds). In my free time, I love to hang out with my friends and watch sports - I even write for a Chicago sports blog during football and basketball season.

Project ideas

Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.

Brain-Computer Interfaces: Where are they now, where could they go?

Brain-Computer Interfaces are a hot-button topic within the Biomedical Engineering community right now. Scientists have been using them in a variety of applications stemming from prosthetics to data collection to use for machine learning. In this project, we dive deep into the use of brain-computer interfaces for disease detection and diagnosis to uncover the current progress being made in this field and its current trajectory.

Coding skills

Coding: MATLAB, SQL, Python, R; Stat Analysis: JMP, SPSS; Numerous Image analysis packages

Teaching experience

I have worked with freshman engineering college students to conduct a research project of their own choosing in fields ranging from brain-computer interfaces, novel applications of medical technology, machine learning for drug development and discovery, and a review of the future of quantum computing in biomedical engineering. As a mentor/teacher, I guided them through the discovery and writing process - teaching them how to identify reliable sources of information, crystallize their thought process, and present their research in a professional, academic manner.


Work experience

McKesson - Covermymeds (2022 - Current)
Data Scientist
Ocular Biomechanics Lab (2018 - 2020)
Research Assistant
Cybergenetics (2018 - 2018)
Bio-Computation Intern
Johnson and Johnson (2017 - 2017)
Data Science Intern


University of Pittsburgh
BSE Bachelor of Science in Engineering (2020)
Bioengineering - Concentration in Cellular Engineering
Columbia University
MS Master of Science
Biomedical Engineering - Concentration in Machine Learning, Bioinformatics

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