I am an Assistant Professor in the Department of Computer Science at Dartmouth College. My research is in digital health, wearable technology, and data science, with a focus on developing human-centered computing solutions that enable personalized health. 

I founded and direct the Augmented Health Lab - a consortium of interdisciplinary researchers working together to tackle grand challenges in healthcare. I am also an affiliate of the Center for Technology and Behavioral Health (CTBH). 

In addition to the above, I founded and lead Computer Science Summer Research (CSSR) @ Dartmouth to train and equip a more diverse pool of undergraduate students to pursue advanced degrees.

Before joining Dartmouth, I was a Rice Academy Postdoctoral Fellow in the Scalable Health Labs. I obtained my M.S. & Ph.D. in Electrical and Computer Engineering, from Georgia Institute of Technology, and my B.Sc. also in Electrical and Computer Engineering from The University of Texas at Austin.

2024

• February - Gave an Invited Talk to the endocrine department at Dartmouth Health

2023

• September - Our work on Seasonal Patterns in Diabetes Care was featured in Dartmouth News and 10+ other media outlets such as Verve Times and Tech Explorist

• September - Our paper "Understanding Temporal Changes and Seasonal Variations in Glycemic Trends using Wearable Data" was published in Science Advances

• August - Our research paper was accepted to Science Advances (impact factor: 13.6)

• August - Our paper "DiaTrend: A dataset from Advanced Diabetes Technology to Enable Development of Novel Analytic Solutions" was published in Scientific Data

• July - Gave an invited talk to the Texas A&M Research for Undergraduates in Computer Science and Data Science program

• June - Gave an invited talk at Dartmouth Health on Leveraging Digital Technology and Data Science to Understand and Transform Disease Management

• March - Released our first open source dataset - DiaTrend - to advance research & development of novel analytic solutions for diabetes and beyond

2022

• November - Attended and presented our research at Health Data Science Symposium at Harvard

• September - Our research was featured in Dartmouth News

• August - Keynote Speaker at KDD Health Day

• August - Our paper "A Computational Framework for Discovering Digital Biomarkers of Glycemic Control" was published in npj Digital Medicine (impact factor: 15.3 in 2021)

• August - Taught a mini-course on "Computing for Healthcare" as part of the Dartmouth Adventures in STEM program

• July - Gave an invited talk on "Opportunistic Use of Digital Devices and Data to Improve Diabetes Care" at IEEE Engineering in Medicine and Biology Conference 2022

• May - Participated and gave an invited talk at the CHI Workshop on Grand Challenges in Personal Informatics and AI

• April - Accepted to the mHealth Training Institute 2022 (mHTI)

• March - Our paper "Investigating Temporal Patterns of Glycemic Control around Holidays," was accepted to EMBC 2022

• March - Gave an invited talk for Women's History Month at NSF PATHS-UP

• March - Our paper "A Hybrid Approach to Realizing Personalized Healthcare" was accepted to CHI 2022 workshop on "Grand Challenges for Personal Informatics and AI"

• January - Gave an invited talk on research in the AH-Lab to graduate students in the Masters in Digital Arts program

2021

• October - Invited Speaker to 2021 Project iSWEST (Innovating Solutions with Engineering Science and Technology) Mentoring Session

• September - Awarded NSF subaward to mentor new postdoc, Prajakta Belsare, who was selected as a 2021 Computing Innovation Fellow (CIFellow)

• August - Gave an invited talk on our GlucoMine paper at the Endocrinology Ground Rounds at Dartmouth Hitchcock Medical Center (DHMC)

• August - Co-PI on NSF Research Trainee (NRT) grant for developing graduate students in sensor science, technology, and innovation (award #: 2125733)

• July - Our paper "GlucoMine: A Case for Improving the Use of Wearable Device Data in Diabetes Management" was accepted to IMWUT (see paper)

• May - Our paper Learning from the Experiences of COVID-19 Survivors was published in JMIR Formative Research

• April - Our paper "SymptomID: A Framework for Rapid Symptom Identification in Pandemics" was accepted to TMIS (see paper)

• February - Gave an invited talk as the PHT180 Distinguished Speaker for Personalized Healthcare Technology at Rochester Institute of Technology (RIT) (see video)

• February - Featured in a news story by alma mater - The University of Texas at Austin

• January - Invited Speaker to the Women in Computer Science and Engineering (W-CSE) Mentoring Seminar

• January - Gave an invited talk titled "Enhancing the utility of Personal Health Data to Improve Diabetes Management" at a Center of Technology and Behavioral Health (CTBH) seminar series