Research

I am broadly interested in wearable health data analysis and deep learning in ubiquitous health contexts.

Google Scholar, Semantic Scholar

Selected Papers

• Five Million Night: Temporal Dynamics of Human Sleep Phenotypes
  Varun K. Viswanath, Wendy Hartogenesis, Stephan Dilchert, Leena Pandya, Frederick M. Hecht, Ashley E. Mason, Edward J. Wang & Benjamin L. Smarr
  Nature Publishing Journals | digital medicine
  KPBS | San Diego Tribune | UCSD News

• A cross-study analysis of wearable datasets and the generalizability of acute illness monitoring model
  Patrick Kasl, Severine Soltani, Lauryn Keeler Bruce, Varun K. Viswanath, Wendy Hartogensis, Amarnath Gupta, Ilkay Altintas, Stephan Dilchert, Frederick M. Hecht, Ashley Mason, Benjamin L. Smarr
  Conference on Health, Inference, and Learning (CHIL) 2024 (Best Paper Award)
  Github

• Augmenting Tele-Postpartum Care with Vision-Based Detection of Breastfeeding-related Conditions: Algorithm Development and Validation
  Jessica de Souza, Varun Viswanath, Jessica Maria Echterhoff, Kristina Chamberlain, Edward Jay Wang
  Journal of Medical Internet Research (JMIR) AI

• Variability of temperature measurements recorded by a wearable device by biological sex
  Lauryn Keeler Bruce, Patrick Kasl, Severine Soltani, Varun K. Viswanath, Wendy Hartogensis, Stephan Dilchert, Frederick M. Hecht, Anoushka Chowdhary, Claudine Anglo, Leena Pandya, Subhasis Dasgupta, Ilkay Altintas, Amarnath Gupta, Ashley E. Mason & Benjamin L. Smarr
  Biology of Sex Differences
  Washington Post | UCSD News

• Detecting Periodic Biases in Wearable-Based Illness Detection Models
  Amit Klein, Varun Kumar Viswanath, Benjamin Smarr, Edward Jay Wang
  ICML 2023 Time-Series Representation Learning for Health (TSRL4H) (Selected for Oral Presentation)

• Smartphone Camera Oximetry in an Induced Hypoxemia Study Varun K. Viswanath*, Jason S. Hoffman*, Caiwei Tian, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel & Edward J. Wang
  Nature Publishing Journals | digital medicine
  SD Tribune | UCSD News

• Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study
  Ashley E. Mason, Frederick M. Hecht, Shakti K. Davis, Joseph L. Natale, Wendy Hartogensis, Natalie Damaso, Kajal T. Claypool, Stephan Dilchert, Subhasis Dasgupta, Shweta Purawat, Varun K. Viswanath, Amit Klein, Anoushka Chowdhary, Sarah M. Fisher, Claudine Anglo, Karena Y. Puldon, Danou Veasna, Jenifer G. Prather, Leena S. Pandya, Lindsey M. Fox, Michael Busch, Casey Giordano, Brittany K. Mercado, Jining Song, …, Benjamin L. Smarr
  Scientific Reports
  StatNews | UCSF News

Other Works

• Sleep pattern clusters, physical function and fall risk: geriatric syndromes among older ambulatory women
  A. Garduno, V. Viswanath, B. Smarr, L. McEvoy, Q. Xiao, K. Full, L. Gallo , H. Parada, C. Crandall, J. Cauley, L. Tinker, A. LaCroix
  Elsevier Sleep Medicine

• TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19
  Shweta Purawat, Subhasis Dasgupta, Jining Song, Shakti Davis, Kajal T. Claypool, Sandeep Chandra, Ashley Mason, Varun Viswanath, Amit Klein, Patrick Kasl, YingJing Wen, Benjamin Smarr, Amarnath Gupta, Ilkay Altintas
  IEEE Big Data 2021

• SpecTracle: Wearable Facial Motion Tracking from Unobtrusive Peripheral Cameras
  Yinan Xuan, Varun Viswanath, Sunny Chu, Owen Bartolf, Jessica Echterhoff, Edward Wang
  Arxiv
  video

• SpiroConfidence: Determining the Validity of Smartphone Spirometry using Machine Learning
  Varun Viswanath, Jake Garrison, Shwetak Patel
  IEEE EMBC 2018

Thesis

Undergraduate Thesis - Using Confidence in Smartphone Spirometry
(under guidance of Prof. Shwetak Patel)
University of Washington (2017-2019)