Postdoctoral Scholar
Department of Genetics, Snyder Lab

Ph.D in Biomedical Engineering
Embedded Systems and Signal Processing Lab

M.S. in Electrical Engineering
Major: Bioelectrical Engineering

B.S. in Electrical Engineering>
Major: Digital Systems

Postdoctoral Researcher - Stanford University
I conduct research on integrating wearable sensors with multi-omics data to understand the biology of respiratory infection, kidney infection, pain, and mental health. I perform bioinformatics, including machine learning and statistical analysis, to detect/predict diseases and understand underlying biological processes.

Review Panel Member - National Science Foundation
Small Business Innovation Research/Small Business Technology Transfer (NSF SBIR/STTR)

Graduate Research Assistant - Texas A&M University
- Led a team of grad students to build a system for detecting pre-symptoms of COVID-19 using wearable sensors — achieved ROC AUC of 0.86.
- Built a cloud-to-cloud communication infrastructure for data collection from commercial off-the-shelf wearable devices using several AWS tools, including AWS Lambda, Amazon API Gateway, AWS Amplify, S3, and DynamoDB.
- Developed deep learning models for transfer learning, uncertainty quantification, personalization, and context identification for human behavior monitoring.
- Designed an efficient context-aware change detection algorithm and developed an app for smartwatches to facilitate data annotation for human activity monitoring.
- Mentored over ten undergrad and three grad students.
- Contributed to writing over five grant proposals.

Lab Manager and Research Assistant - Sharif University of Technology
- Built a hybrid system including inertial MEMS sensors (IMU) and textile sensors for measuring human movements.
- Designed and implemented a gimbal system for calibrating IMUs.
- Organized lab activities including hosting bioinstrumentation and applied electronics courses.