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.
August - Our paper "Understanding Temporal Changes and Seasonal Variations in Glycemic Trends using Wearable Data" 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
November - Attended and presented our research at Health Data Science Symposium at Harvard
September - Our research was recognized 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
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 - Co-PI on NSF Research Trainee (NRT) grant for developing graduate students in sensor science, technology, and innovation (award #: 2125733)
May - Our paper Learning from the Experiences of COVID-19 Survivors was published in JMIR Formative Research
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
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November - Invited speaker to "Inferential Methods and Epidemiology (PH100/101)" class for Masters in Public Health students at The Dartmouth Institute
November - Invited professor at Virtual Shabazz LLC Program
October - Panelist for "Picture a Scientist," discussing topics on women and diversity in Science.
September - Gave an invited talk titled "Leveraging Data Science in the Fight against COVID-19" at the 2020 virtual Grace Hopper Celebration (abstract here)
August - Co-PI on NSF SenSE grant for improving closed-loop artificial pancreas systems used in diabetes management (award # 2037267)
July - C19 Insider Scoop project was featured on Dartmouth News
July - Gave an invited talk titled "Data Science for Health: Applications for Diabetes and COVID-19" at the Summer Web-Based Institute for Technologies in CompSci & Healthcare (SWITCH) - A 5-week summer research program for middle & high school teachers.
April - Awarded Dartmouth Spark Funding for C19 Insider Scoop
August - Received the Walter and Constance Burke Research Initiation Award from Dartmouth College (2019 - 2022)
May - Awarded pilot research funding from the Center for Technology and Behavioral Health (CTBH) for the Digital SMD project (2019 - 2020)
Rice Academy Post-doctoral Fellow, Rice University (2016 - 2018)
Sam Chih Foundation Award, Georgia Institute of Technology (2016)
Graduate Research Fellowship, National Science Foundation (NSF), (2013 - 2016)
Graduate Research Fellowship, Achievement Rewards for College Scientists (2012 - 2016)
1st Place in Student Paper Competition, IEEE Engineering in Medicine and Biology Conference (2014)
Research Poster Competition Winner, Georgia Tech Research & Innovation Conference (2014)
IEEE Signal Processing Society (SPS) Travel Grant, International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Google United Negro College Fund - UNCF Scholar (2013)
Google Anita Borg Scholarship Finalist (2013)
Ford Foundation Fellowship Honorable Mention (2013)
Texas Instruments Analog Minority Scholarship (2010)
Marathon Oil Company Scholarship (2008 - 2010)
Academic Leaders Hall of Fame, University of Texas at Austin (2009)
Boeing Diversity Scholarship (2009)
Rockwell Collins Diversity Scholarship (2008)
Cisco Diversity Scholarship (2007)