Stanford University
GENE 222 / CS 273C / BIOMEDIN 222
Cloud Computing for Biology & Healthcare
Spring 2021 – Present
.
Arash Alavi
Director of Software Engineering, Stanford Deep Data Research Center
Lecturer, Stanford University
alavi(at)stanford.edu
About
I am the Director of Software Engineering at the
Stanford Deep Data Research Center and a lecturer at Stanford University.
My work focuses on digital health–building secure, scalable, and intelligent platforms for real-time precision medicine.
Research interests: Software Engineering, Digital Health, Wearable Time-series Data Analysis, AI/ML, Security & Privacy, Mobile Apps, and Cloud Computing.
Projects
Selected projects. Select a project around the watch to explore details.
Platform
Live
MyPHD
Secure, scalable biomedical data infrastructure for acquisition, storage, and real-time analysis across large digital-health clinical studies.
News
- Our paper got published in CHEST: Comprehensive Evaluation of Night-to-Night Variability in PSG Metrics and AHI–Based Diagnostic Reclassification.
- Our paper got published in Nature Communications Medicine: Achieving inclusive healthcare through integrating education and research with AI and personalized curricula. Platform: SDO
- Samsung and Stanford collaboration to advance sleep apnea detection and beyond: Galaxy Watch Sleep Apnea
- Our paper on Wearable Diabetes and LLMs on medRxiv: Perspective on Harnessing Large Language Models to Uncover Insights in Diabetes Wearable Data
- Led efforts in the AI‑READI Wearable Data Standards module: https://aireadi.org/team
- Presented “Wearable Sensors for Personalized Detection of Stress Events” at Cardio Sensors 2023: Cardio Sensors 2023
- Peer review for PLOS ONE and npj Digital Medicine: https://orcid.org/0000-0002-7245-6889
- Our paper got published in Nature Medicine: Real-time alerting system for COVID-19 and other stress events using wearable data. Source Code: NightSignal Infection Detection Algorithm
- Our paper got published in Nature Communications: A scalable, secure, and interoperable platform for deep data-driven health management.
- Our paper got published in Nature Biomedical Engineering: Pre-symptomatic detection of COVID-19 from smartwatch data.
Selected Publications
- CHEST (2026). Comprehensive Evaluation of Night-to-Night Variability in PSG Metrics and AHI–Based Diagnostic Reclassification.
- Nature Communications Medicine (2025). Achieving inclusive healthcare through integrating education and research with AI and personalized curricula.
- Nature Metabolism (2024). AI-READI: rethinking AI data collection, preparation and sharing in diabetes research and beyond.
- Nature Medicine (2022). Real‑time alerting system for COVID‑19 and other stress events using wearable data.
- Nature Communications (2021). A scalable, secure, and interoperable platform for deep data‑driven health management.
- Nature Biomedical Engineering (2020). Pre‑symptomatic detection of COVID‑19 from smartwatch data.
- ICSE (2019). Dynamic Slicing for Android.
- ISC (2019). When The Attacker Knows A Lot: The GAGA Graph Anonymizer.
Teaching & Service
University of California, Riverside
Advanced Compiler Construction (CS 201) — Graduate course
TA: Spring & Fall 2016; Spring & Fall 2018
Reviewer & Committees
- npj Digital Medicine
- PLOS ONE
- OOPSLA (Artifact Evaluation Committee)
- Scientific Reports, JVLC, COMLAN, MICRO, IEEE QRS, CASES, LANMAN, ACM ASIACCS
Interns and Collaborators
| Photo | Name | Position |
|---|---|---|
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Stephanie Waldrop | Assistant Professor, Louisiana State University |
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Lauryn Bruce | Postdoctoral Researcher, UCSD |
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Qiwen Wang | Software Engineer, Meta |
 |
Kexin Cha | Senior Product Designer, Stanford University |
 |
Sushil Upadhyayula | Master's Student, CS, Stanford University |
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Diego Celli | Software Engineer, LinkedIn |
 |
Delara P Esfarjani | Undergrad Engineering Student |
 |
Aishwarya Srinivasan | Data Scientist, Google |
 |
Claire Muscat | Master's, CS, Stanford University |
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Gregory Young | Master's Student, CS, MIT University |
 |
Jason Kenichi Li | Master's Student, CS, Stanford University |
 |
Pramod Kotipalli | Master's Student, CS, Stanford University |
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Lisa Liao | Master's Student, CS, Stanford University |
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Camille Lauren Berry | Master’s Student, Stanford Design Impact |
 |
Katherine Grace Van Winkle | Lead Product Designer, Reliant Immune Diagnostics |
Contact
Email: alavi(at)stanford.edu
Affiliation: Stanford University, School of Medicine
Areas: Digital Health, Wearables, AI/ML, Security & Privacy