Arash Alavi
Software Engineering Director at Stanford Deep Data Research Center
Stanford University, School of Medicnie
alavi [at] stanford.edu
About
Arash is the Director of Software Engineering at Stanford Deep Data Research Center, Stanford University. Currently, Arash is focused on developing innovative solutions in digital health by creating secure, scalable, and intelligent platforms for real-time precision medicine. Arash received his Ph.D. in Computer Science from the University of California, Riverside in September 2019 and then joined Stanford University's School of Medicine as a lead computer scientist. His research interests include: Software Engineering, Digital Health, Wearables, AI/ML in Precision Medicine, Security & Privacy, Mobile Applications, and Cloud Computing.
News
June 2023 Presented "Wearable Sensors for Personalized Detection of Stress Events " at the Cardio Sensors 2023:
Cardio Sensors 2023
May 2023 Peer review for PLOS ONE Conference:
PLOS ONE
Dec 2022 Peer review for npj Digital Medicine Conference:
npj Digital Medicine
June 2022 Check out our MyPHD (My Personal Health Dashboard) app:
MyPHD
November 2021 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
October 2021 Our paper got published in Nature Communications.
A scalable, secure, and interoperable platform for deep data-driven health management
October 2021 Our paper got published in PLOS Computational Biology.
Swarm: A federated cloud framework for large-scale variant analysis
April 2021 Teaching Security and Privacy in Precision Medicine in Cloud Computing for Biology and Healthcare Course (Stanford GENE222/CS273C/BIOMEDIN222).
December 2020 Launched phase II of pre-symptomatic detection of COVID-19 from smartwatch data.
MyPHD iOS MyPHD Android
November 2020 Our paper got published in Nature Biomedical Engineering.
Pre-symptomatic detection of COVID-19 from smartwatch data
October 2020 Presented "Mobile Penetration Testing and De-Identification for Digital Healthcare Applications Workshop" at the Stanford Cybersecurity & Privacy Festival.
Stanford Cybersecurity & Privacy Festival
January 2020 Presented "Personal Health Dashboard (PHD)" at the annual Integrated Personal Omics Profiling (iPOP) Summit.
2020 Stanford iPOP Summit
November 2019 Joined Stanford University, School of Medicine as a full-time Software Researcher.
Stanford School of Medicine
September 2019 Received my PhD from the University of California, Riverside.
PhD Thesis
Projects
| Wearable Analysis | MyPHD |
|---|---|
 Wearable Analysis |
MyPHD |
Extensive compilation of various analytical algorithms for different types of wearables data. |
MyPHD (My Personal Health Dashboard) is a framework that can be easily configured to support big biomedical data acquisition, storage, and real-time analysis. |
| NightSignal | Wearables Isolation Forest |
|---|---|
| NightSignal |
 Wearables Isolation Forest |
MyPHD (My Personal Health Dashboard) is a framework that can be easily configured to support big biomedical data acquisition, storage, and real-time analysis. |
Isolation Forest Anomaly Detection algorithm for wearables data: Fitbit and Apple watch. |
| AndroidSlicer | |
|---|---|
 AndroidSlicer |
|
AndroidSlicer is a dynamic slicing tool for Android Apps, useful for a variety of tasks, from testing to debugging to security. |
Selected Publications
[Nature Medicine , 2022] Real-time alerting system for COVID-19 and other stress events using wearable data
Arash Alavi*, Gireesh K. Bogu*, Meng Wang*, Ekanath Srihari Rangan*, Andrew W. Brooks*, Qiwen Wang, Emily Higgs, Alessandra Celli, Tejaswini Mishra, Ahmed A. Metwally, Kexin Cha, Peter Knowles, Amir A. Alavi, Rajat Bhasin, Shrinivas Panchamukhi, Diego Celis, Tagore Aditya, Alexander Honkala, Benjamin Rolnik, Erika Hunting, Orit Dagan-Rosenfeld, Arshdeep Chauhan, Jessi W. Li, Caroline Bejikian, Vandhana Krishnan, Lettie McGuire, Xiao Li, Amir Bahmani & Michael P. Snyder
Nature Medicine 2021
* these authors contributed equally
[Nature Communications , 2021] A scalable, secure, and interoperable platform for deep data-driven health management
A Bahmani*, A. Alavi*, T. Buergel*, S. Upadhyayula, Q. Wang, S. K. Ananthakrishnan, A. Alavi, D. Celis, D. Gillespie, G. Young, Z. Xing, M. H. Nguyen, A. Haque, A. Mathur, J. Payne, G. Mazaheri, J. Kenichi Li, P. Kotipalli, L. Liao, R. Bhasin, K. Cha, B. Rolnik, A. Celli, O. Dagan-Rosenfeld, E. Higgs, W. Zhou, C. L. Berry, K. G. Van Winkle, K. Contrepois, U. Ray, K. Bettinger, S. Datta, X. Li, M. P. Snyder
Nature Communications 2021
* these authors contributed equally
[PLOS , 2021] Swarm: A federated cloud framework for large-scale variant analysis
Amir Bahmani, Kyle Ferriter, Vandhana Krishnan, Arash Alavi, Amir Alavi, Philip S. Tsao, Michael P. Snyder, Cuiping Pan
PLOS Computational Biology 2021
[Nature Biomedical Engineering , 2020] Pre-symptomatic detection of COVID-19 from smartwatch data
Tejaswini Mishra*, Meng Wang*, Ahmed A. Metwally*, Gireesh K. Bogu*, Andrew W. Brooks*, Amir Bahmani*, A. Alavi*, Alessandra Celli, Emily Higgs, Orit Dagan-Rosenfeld, Bethany Fay, Susan Kirkpatrick, Ryan Kellogg, Michelle Gibson, Tao Wang, Erika M. Hunting, Petra Mamic, Ariel B. Ganz, Benjamin Rolnik, Xiao Li, Michael P. Snyder
Nature Biomedical Engineering, November 2020
* these authors contributed equally
[ISC 2019] When The Attacker Knows A Lot: The GAGA Graph Anonymizer
Arash Alavi, Rajiv Gupta, Zhiyun Qian
The Information Security Conference, (ISC'19), September 2019 (Acceptance rate: 27%)
[ICSE 2019] Dynamic Slicing for Android
Tanzirul Azim, Arash Alavi, Iulian Neamtiu, Rajiv Gupta
The International Conference on Software Engineering (ICSE'19), May 2019 (Acceptance rate: 21%)
Download tool: [AndroidSlicer]
[PAM 2017] Where is the Weakest Link? A Study on Security Discrepancies between Android Apps and Their Website Counterparts
Arash Alavi, Alan Quach, Hang Zhang, Bryan Marsh, Farhan Ul Haq, Zhiyun Qian, Long Lu, Rajiv Gupta
The Passive and Active Measurement Conference (PAM'17), March 2017 (Acceptance rate: 23%)
[ISSTA 2016] Automatically Verifying and Reproducing Event-based Races in Android Apps
Yongjian Hu, Iulian Neamtiu, Arash Alavi
The International Symposium on Software Testing and Analysis (ISSTA'16), July 2016 (Acceptance rate: 26%)
Education
Ph.D. in Computer Science [Sep 2014 - Sep 2019]
University of California, Riverside
Thesis: Application of Software Analysis in Detecting Vulnerabilities:Testing and Security Assessment
Supervisors: Prof. Rajiv Gupta and Prof. Zhiyun Qian
B.Sc. in Computer Engineering [Sep 2010 - Aug 2014]
Amirkabir University of Technology
Supervisor: Prof. Mehran S. Fallah
Experiences and Services
Graduate Research Assistant
University of California, Riverside (September 2014 - September 2019)Teaching Assistant
- Compiler Construction (CS201), Graduate CourseUniversity of California, Riverside (Fall 2018, Spring 2018, Fall 2016, Spring 2016)
- Software Engineering I, Undergraduate Course
Amirkabir University of Technology (Fall 2013)
Reviewer
- npj Digital Medicine (2023), PLOS ONE (2023) - OOPSLA 2019 - Artifact Evaluation Committee
- JVLC (2019), COMLAN (2018), MICRO (2018), CC (2017), IEEE QRS (2016, 2017, 2018), CASES (2016), IEEE LANMAN (2016), ACM ASIACCS (2016) - Reviewer
- UCR BioHack (2018) - Mentor
Software Engineer Intern
- Stanford University (June 2018 - September 2018)- ShadeCraft Robotics (October 2017 - January 2018)
- Danesh Bonyan Amirkabir (July 2013 – September 2013)
Interns and Collabrators
Grateful to work with these excellent interns, students, and collaborators: 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 BioMed 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] |
|
High school interns:
Delara P Esfarjani - Summer 2022 Intern