Mihir Joshi

Mihir Joshi

Bioengineering Researcher & Founder

I'm a Bioengineering MS student at UCLA researching AI systems for health superintelligence. I'm also the founder and CEO of Locarda, an AI platform deployed in medical examiner offices that supports forensic pathology workflows.

Education

UCLA

University of California, Los Angeles

M.S. Bioengineering

Expected June 2027

Ohio State

The Ohio State University

B.S. Biomedical Engineering with Honors, Minor in Computer Science

May 2025

Work Experience

Locarda

Locarda

Founder & CEO

2024 – Present

Apple

Apple Inc.

Software Engineering Intern (Incoming)

Summer 2026

Apple

Apple Inc.

Biomedical R&D Intern

September 2022 – August 2023 · Cupertino, CA

Johnson & Johnson

Johnson & Johnson MedTech

Data Science R&D Co-op

May 2022 – August 2022 · Cincinnati, OH

Stanford Biodesign

Stanford Biodesign Digital Health Lab

Software Engineer

May 2022 – August 2022 · Stanford, CA

Research Experience

UCLA

Health Intelligence Lab (HAIL)

Graduate Researcher · UCLA

2025 – Present · Los Angeles, CA

OSU

Ocular Imaging and Biomechanics Lab

Undergraduate Researcher

March 2024 – May 2025 · Columbus, OH

Stanford Medicine

Stanford Medicine Allergy & Asthma Research Center

Digital Health Researcher

May 2021 – August 2024 · Stanford, CA

OSU

Cardiac MRI Lab

BME Undergraduate Researcher

August 2021 – August 2022 · Columbus, OH

Featured Projects

Locarda logo

Locarda

Forensic AI platform for medicolegal death investigation—voice-to-report dictation, custom templates, and HIPAA-compliant workflows deployed across U.S. medical examiner offices.

Visit Locarda →
MyOIT

MyOIT

An iOS app for patients to manage their allergy immunotherapy.

View Project →
BUDI

BUDI

Real-time biofeedback iOS app for pediatric cerebral palsy patients.

View Project →

Cardiac MRI Sampling

Open-source tool compiling Cartesian sampling techniques to speed up cardiac magnetic resonance (CMR) acquisition.

Skills

Artificial Intelligence

Machine Learning Computer Vision Generative AI Large Language Models Retrieval Augmented Generation

Programming and Software

Python PyTorch Swift MATLAB

Cloud & Deployment

AWS (S3, Lambda, Bedrock) Scalable ML Pipelines Model Distillation Knowledge Injection

Biomedical Applications

Health Data Security & Privacy Digital Health Wearable Sensors Medical Imaging

Publications

ICML 2026 (Accepted)

Li, S., Xiao, S., Joshi, M., Metwally, A., McDuff, D., Wang, W., & Yang, Y. (2026). HeaRTS: Benchmarking LLM Reasoning on Health Time Series.

View on arXiv →

Joshi, M., Pruitt, A., Chen, C., Liu, Y., & Ahmad, R. (2022). Technical Report (v1.0)—Pseudo-random Cartesian Sampling for Dynamic MRI. arXiv.

View Publication →

Liu, J., Pathak, G., Joshi, M., Andrews, K., & Lee, J. (2021). A meta-analysis comparing the outcomes of syndesmotic injury treated with metal screw, dynamic fixation, and bioabsorbable screw. Journal of Orthopaedics, 25, 82–87.

View Publication →

News

UCLA

HeaRTS accepted to ICML 2026

March 2026

Read paper →
NSF GRFP

NSF Graduate Research Fellowship (GRFP)

2025

OSU

Ohio State BMES Design Team Article

April 2024

Read Article →
Stanford

Stanford News Article on The BUDI System

July 2022

Read Article →