Harshit SharmaExpected December 2027
Ph.D., Computer and Information Science
Arizona State University, Tempe, AZ
GPA 3.98 / 4.0
Ph.D. Candidate · Arizona State University
Harshit Sharma
I build trustworthy machine learning for health: models that stay private, fair, and interpretable on messy, multimodal clinical and sensor data.
I am a Ph.D. candidate in Computer and Information Science at Arizona State University (expected December 2027), advised by Dr. Asif Salekin in the Ubiquitous and Intelligent Sensing Lab, and a Fulton Fellow. My research covers privacy-preserving ML, explainable AI, and fairness for EHR claims, wearables and nearables (physiological signals, IMU, thermal, UWB radar), and speech. I work with clinicians in addiction medicine, speech-language pathology, and geriatrics. In Summer 2026 I was a Research Scientist Intern at Optum, UnitedHealth Group, working on language models over longitudinal EHR claims.
Seeking Research Scientist internships for Summer 2027. Let’s talk →- Peer-reviewed papers
- 13
- ACM IMWUT papers
- 6
- Preprints & ongoing work
- 7
- Ph.D. GPA
- 3.98/4.0
News
Research
I study how to make machine learning on human health data trustworthy enough to deploy, in three connected areas.
Publications
Highlighted name marks me; * marks equal contribution. Also on Google Scholar.
No papers match this filter.
Experience
Education
2019
B.S., Computer and Information Science
BMS College of Engineering, Bangalore, India
GPA 4.0 / 4.0
Awards, Service & Teaching
Fellowships & awards
Professional service
Teaching
- Teaching Assistant, Syracuse University (2021–2022): CIS 675 Design and Analysis of Algorithms (graduate); CIS 477 Introduction to Analysis of Algorithms
In the media
Skills
Hiring Research Scientist interns for Summer 2027?
I would be glad to talk about roles in healthcare AI, LLMs for clinical data, privacy-preserving and federated learning, fairness, or multimodal time-series modeling.