I was born and raised in San Jose, CA. I went to college at UC Berkeley, where I double-majored in Bioengineering and Electrical Engineering & Computer Sciences (EECS). I spent a year at an AI startup, and then moved to Google's life sciences division (now Verily) where I worked on wearable health-monitoring devices. After five years, I left Google to study medicine at the University of Michigan. Here, I have worked in the Restorative Neuroengineering Group, developing algorithms using Diffusion Tensor MRI to improve the accuracy and therapeutic efficacy of deep brain stimulation for patients with Parkinson's disease. I am passionate about collaborating in diverse teams to leverage all aspects of software engineering--AI, cloud computing, wearable devices, mobile apps, and more--to enable personalized, high-quality, accessible, and equitable care to patients, improve physician well-being, accelerate scientific discovery, and promote the financial sustainability of healthcare long-term.
Knowledge Systems Lab
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ResearcherKnowledge Systems LabCalifornia, United States
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ResearcherRestorative Neuroengineering Group, University Of Michigan Jul 2021 - PresentAnn Arbor, Michigan, United States+ Leading the development of algorithms using Diffusion Tensor MRI and electrical impedance measurements to map out brain tissue, which has many applications.+ Focused on improving the accuracy of deep-brain stimulation (DBS) for Parkinson's disease and enabling it for new indications.+ First-author paper accepted at the Journal of Neural Engineering.
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ResearcherKnowledge Systems Lab Jul 2024 - PresentAnn Arbor, Michigan, United StatesExploring how Large Language Models can interact with computational representations of biomedical knowledge to aid in clinical decision making, provide patient education, and enable other applications that help achieve our lab's vision of a Learning Health System.
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Software EngineerGoogle Aug 2016 - Jul 2021Mountain View, Ca+ Verily Life Sciences: Helped develop clinical-grade wearable medical devices.+ Google: Helped enable AI-powered experiences on Google devices. (e.g. Pixel phone) -
Software EngineerC3.Ai Jun 2015 - Jun 2016Redwood City, CaDeveloped real-time AI and ML applications for energy companies and utilities (i.e. leveraging data from grid sensors and smart meters to forecast electricity consumption and identify suspected energy theft) -
Undergraduate ResearcherAlgorithms, Machines, & People (Amp) Lab, Uc Berkeley Sep 2013 - May 2015Berkeley, CaHelped develop algorithms and file formats that leverage cloud computing for scalable and efficient processing of -omics datasets. -
Software Engineer InternIntel Corporation May 2014 - Aug 2014Santa Clara, Ca+ Helped optimize the Android ART Virtual Machine to run quickly and securely on Intel x86 and x86_64 architecture.+ Internship Capstone Project: Enabling Loop Unrolling optimization during ahead-of-time compilation. -
Undergraduate ResearcherMicro Mechanical Methods For Biology (M3B) Lab, Uc Bekeley Aug 2012 - Dec 2012Berkeley, Ca+ Helped measure and characterize the forces involved in cellular locomotion.+ Devised an innovative solution to create a micro-spring with equal stiffness in all directions.
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Undergraduate ResearcherFeldman Lab, Stanford University School Of Medicine May 2012 - Aug 2012Stanford, CaHelped characterize the preventative and therapeutic effects of Vitamin D on breast and prostate cancers in a mouse model.
Niranjan Kumar Education Details
Frequently Asked Questions about Niranjan Kumar
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Niranjan Kumar works for Knowledge Systems Lab
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Niranjan Kumar's current role is Researcher.
What schools did Niranjan Kumar attend?
Niranjan Kumar attended University Of Michigan Medical School, University Of California, Berkeley.
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Niranjan Kumar
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