Yinan (Tom) Xuan  宣一楠

Yinan (Tom) Xuan宣一楠

About

I am an AI System Engineer at Pairwise, working with Meta Reality Labs. I received my Ph.D. in Electrical and Computer Engineering, specializing in Machine Learning and Data Science, from the University of California, San Diego (UCSD), where I worked with Professor Edward Wang at the Digihealth Lab. Earlier, I earned my M.S. at UCSD under the mentorship of Professor Jing Wang, studying the neurobiology of olfaction in Drosophila melanogaster (fruit flies). I hold a B.S. in Physiology and Neuroscience with a minor in Cognitive Science, also from UCSD.

My expertise spans the intersection of applied machine learning, human-computer interaction, and full-stack system design — from hardware prototypes to real-time software. With experience at Meta Reality Labs and a Ph.D. in ECE, I am passionate about bridging hardware and AI through RAG pipelines, Agentic workflows, and robust LLM applications.

Latest Updates

-Last Updated: April 2, 2026

Research

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Ultra-low-cost Mechanical Smartphone Attachment for No-Calibration Blood Pressure Measurement

Yinan Xuan, Colin Barry, Jessica De Souza, Jessica Wen, Nick Antipa, Alison Moore, and Edward Wang

Nature Scientific Reports

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BPClip is a low-cost 3D-printed smartphone attachment for blood pressure monitoring that utilizes a smartphone's camera and flashlight. This device aims to make blood pressure measurement more accessible, particularly in resource-limited settings. By promoting the use of this affordable technology, the intention is to facilitate better management of hypertension and overall health for individuals worldwide.

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Oscillometric blood pressure measurements on smartphones using vibrometric force estimation

Colin Barry, Yinan Xuan, Ava Fascetti, Alison Moore and Edward Jay Wang

Nature Scientific Reports

This work is an extension of my previous work on BPClip. We introduce a smartphone-based method for measuring blood pressure via oscillometry without specialized hardware. Users press the camera, capturing blood volume changes; force is estimated using Vibrometric Force Estimation (VFE) via the phone's vibration motor and IMU. In a study (N=24), BP measurements had mean absolute errors of ~9 mmHg systolic and ~8 mmHg diastolic compared to an FDA-approved cuff. This method could enable accessible hypertension screening via a smartphone app.

A Nutrient-specific Gut Hormone Arbitrates Between Courtship and Feeding

Hui-Hao Lin, Meihua Christina Kuang, Imran Hossain, Yinan Xuan, Laura Beebe, Andrew K. Shepherd, Marco Rolandi, Jing W. Wang

Nature

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I built a data processing pipeline designed to automatically extract and analyze individual cell activity information from calcium imaging videos. The goal is to eliminate excessive manual effort and facilitate the study of biological questions related to enteroendocrine cells in the mid-gut of Drosophila melanogaster (fruit fly). While the pipeline is fine-tuned for this study, it has the potential to be applied to imaging videos of other tissues or animals.

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A calibration method for smartphone camera photophlethysmography

Yinan Xuan, Colin Barry, Nick Antipa, and Edward Jay Wang

Frontiers in Digital Health

Smartphone camera photoplethysmography (cPPG) enables non-invasive pulse oximetry and hemoglobin concentration measurements. However, the aesthetic-driven non-linearity in default image capture and preprocessing pipelines poses challenges for consistency and transferability of cPPG across devices. This work identifies two key parameters—tone mapping and sensor threshold—that significantly impact cPPG measurements. We propose a novel calibration method to linearize camera measurements, thus enhancing consistency and transferability of cPPG across devices.

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Enabling Smartphone Pupillometry using a Facial Identification Camera in At-Home Environments

Colin Barry, Jessica de Souza, Yinan Xuan, Jason Holden, Eric Granholm, and Edward Jay Wang

CHI 2022

Best Paper Honorable Mention Award

SpecTracle: Wearable Facial Motion Tracking from Unobtrusive Peripheral Cameras

Yinan Xuan, Varun Viswanath, Sunny Chu, Owen Bartolf, Jessica Echterhoff, and Edward Wang

arXiv

Odor VR

This project is an olfactory VR system, designed to measure odor-guided behaviors in Drosophila melanogaster (fruit fly). The system is composed of three parts: a spherical treadmill, an olfactometer (for controlled odor delivery), and a feedback system (to adjust odor delivery based on the fly's position within the virtual world).

The system is specifically designed to be compatible with two-photon and three-photon imaging, enabling simultaneous recording of neuronal activity in the fruit fly's brain and its behavioral responses.

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Valve Control System

I designed and deployed a control system to independently control the opening of eight solenoid valves, implementing the control signal as spike-and-hold in accordance with the requirements specified in the valve datasheet.

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Fruit Fly Anesthesia Stage

I developed a feedback control system to maintain the temperature of a metal holding rig at a sufficiently low level to anesthetize flies for surgeries, such as opening the head or the back, under a microscope.

Electronic cigarettes induce DNA strand breaks and cell death independently of nicotine in cell lines

Vicky Yu, Mehran Rahimy, Avinaash Korrapati, Yinan Xuan, Angela E. Zou, Aswini R. Krishnan, Tzuhan Tsui, Joseph A. Aguilera, Sunil Advani, Laura E. Crotty Alexander, Kevin T. Brumund, Jessica Wang-Rodriguez, and Weg M. Ongkeko

Oral Oncology

Transcriptome sequencing uncovers novel long noncoding and small nucleolar RNAs dysregulated in head and neck squamous cell carcinoma

Angela E. Zou, Jonjei Ku, Thomas K. Honda, Vicky Yu, Selena Z. Kuo, Hao Zheng, Yinan Xuan, Maarouf A. Saad, Andrew Hinton, Kevin T. Brumund, Jonathan H. Lin, Jessica Wang-Rodriguez, and Weg M. Ongkeko

RNA

The non-coding landscape of head and neck squamous cell carcinoma

Angela E. Zou, Hao Zheng, Maarouf A. Saad, Mehran Rahimy, Jonjei Ku, Selena Z. Kuo, Thomas K. Honda, Jessica Wang-Rodriguez, Yinan Xuan, Avinaash Korrapati, Vicky Yu, Pranav Singh, Jennifer R. Grandis, Charles C. King, Scott M. Lippman, Xiao Qi Wang, Andrew Hinton, and Weg M. Ongkeko

Oncotarget

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