MyPHD
Secure and scalable framework for biomedical big data acquisition, storage, and real-time analysis, supporting more than 20 research studies and serves over 12,000 participants.
myphd.stanford.edu ↗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.
News
- 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.
Projects
Stanford Data Ocean
A cloud-based, serverless, LLMs-powered platform for researchers and learners to seamlessly access and analyze large biomedical datasets.
dataocean.stanford.edu ↗
Galaxy Watch Sleep Apnea
Samsung and Stanford project to initiate an innovative health solution based on Samsung’s obstructive sleep apnea (OSA) feature which has received De Novo.
Samsung Collaboration ↗
Bridge2AI AI-READI
Wearable (Activity tracker and CGM) standardization efforts within the NIH's flagship AI-READI project for generating machine-learning-ready datasets.
AI-READI Dataset ↗
NightSignal
Real-time alerting algorithm for infection and stress events from continuous wearable data streaming.
View Source Code ↗
Wearables Isolation Forest
Isolation‑Forest‑based anomaly detection algorithms optimized specifically for Fitbit and Apple Watch physiological signals.
View Source Code ↗
AndroidSlicer
Dynamic slicing tool designed for rigorous testing, debugging, and identifying security vulnerabilities for Android applications.
View Source Code ↗Selected Publications
- 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
Stanford University
GENE 222 / CS 273C / BIOMEDIN 222
Cloud Computing for Biology & Healthcare.
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 |
|---|---|---|
 |
Stephanie Waldrop | Assistant Professor, Louisiana State University |
 |
Lauryn Bruce | Postdoctoral Researcher, UCSD |
 |
Qiwen Wang | Software Engineer, Meta |
 |
Kexin Cha | Senior Product Designer, Stanford University |
 |
Sushil Upadhyayula | Master's Student, CS, Stanford University |
 |
Diego Celli | Software Engineer, LinkedIn |
 |
Delara P Esfarjani | Undergrad Engineering Student |
 |
Aishwarya Srinivasan | Data Scientist, Google |
 |
Claire Muscat | Master's, CS, Stanford University |
 |
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 |
 |
Lisa Liao | Master's Student, CS, Stanford University |
 |
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