Resume
CURRENTLY
I am an Assistant Professor at Northeastern University in the Bouvé College of Health Sciences and the Khoury College of Computer Science. I am an affiliate at the Harvard T.H. Chan School of Public Health and Harvard Medical School. I direct the SATH Lab which focuses on digital phenotyping research and digital biomarker discovery.
A downloadable version of my CV
Sathyanarayana, Aarti, Jaideep Srivastava. "Dynamic activity recommendation system." U.S. Patent Application 16/556,647, filed March 5, 2020. (link)
Werner, Benjamin A., Brent M. Ledvina, Dennis P. Hilgenberg, and Aarti Sathyanarayana. "Machine learning assisted satellite based positioning." U.S. Patent Application 16/536,234, filed February 13, 2020. (link)
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RESEARCH EXPERIENCE
Northeastern University
Assistant Professor
August 2021 - Present
I am an Assistant Professor at Northeastern University - joint between the College of Health Sciences and the College of Computer Science. I direct the Signal processing And Time variant Health data (SATH) Lab where we focus on digital phenotyping and digital biomarker discovery, with the goal of developing new digital health approaches and applications to improve quality of care and quality of life.
Harvard T.H. Chan School of Public Health
Postdoctoral Research Fellow
September 2020 - August 2021
I work as a research fellow in the Department of Biostatistics with Dr. Jukka-Pekka Onnela. Please refer to my research page for more information on my work.
Harvard Medical School
Postdoctoral Research Fellow
January 2018 - August 2021
I worked as a research fellow in the Computational Health Informatics Program under Dr. Kenneth Mandl. Building on my interest in interpreting the physiological signals of the human body, I focused primarily on neurology and brain research. I worked closely with Dr. William Bosl and Dr. Tobias Loddenkemper to develop digital biomarkers to improve the diagnostics and treatment of epilepsy. Please refer to my research page for more information on my work.
My fellowship with Boston Children's Hospital is affiliated with Harvard Medical School, thus I have a joint title. I am funded by the Ruth Kirschstein Service Award, an NIH T32 grant.
At QCRI, I belonged to the Social Computing Group led by Dr. Jaideep Srivastava. As part of this group, I was involved with the 360° Quantified Self project, where we strived to create a unified vision of an individual's health status and improve their quality of life. My work focused on sleep science. For more information on my research, as well as a list of publications, please refer to my research page.
At Mayo Clinic, I worked as an intern in the Centre for the Science of Health Care Delivery under Dr. Jyotishman Pathak. My research analysed data from patient electronic health records as well as claims data from insurance companies. For more information on my research, as well as a list of publications, please refer to my research page.
University of Minnesota
Graduate Research Assistant
September 2012 - January 2018
As a Computer Science PhD student at University of Minnesota, I was a member of Dr. Jaideep Srivastava's Data Mining Research Group. For more information on my research, and a list of publications, please visit my research page.
Allina Health
Graduate Research Assistant
September 2014 - June 2015
At Allina, I held a research assistantship with the Division of Applied Research under Dr. Heather Britt. I worked on two different projects during my tenure. The first, was with Dr. Prasanna Desikan. We worked on developing algorithms for predicting potentially preventable events. The second was with TC Tong, working on the validation of clinical pathways for the medical spine group.
INDUSTRY EXPERIENCE
My work on Apple's special projects and the wireless technologies team is non-disclosed. What I can share is that I had an incredible experience working on Apple's current and future product lines in the space of machine learning and software development.
My Intel internship was on the Thermal Power Validation team, working under Dr. David Hayden. I worked on building a database extractor to assist the automation between AVID power modeling and thermal power validation results. I also worked on Python scripts for automating the validation of Android SoC boards.
CogCubed is a startup developing cognitive games and assessment tools for behavioural health professionals. I worked with the CEO Kurt Roots on developing a game to track the cognitive progress for children with autism.
At Mphasis-Wyde, I worked on several different teams. I first worked on the development and deployment of Wynsure, a policy administration system for insurance companies. The client was in Puerto Rico. I then joined a cross-platform team developing a layer of technology above the base product for use on all North American projects. My final role was on the product team as a tier II support engineer working on delivering bug fixes and new technologies in the global base product.
TEACHING EXPERIENCE
University of Minnesota
Graduate Teaching Assistant
2013 - 2018
Spring 2013: CSCI 1113 - Programming in C/C++
Spring 2013: CSCI 4707 - Principles of Databases
Fall 2013: CSCI 4707 - Principles of Databases
Spring 2014: CSCI 4707 - Principles of Databases
Fall 2015: CSCI 1101 - Introduction to Java
Aarohan
Volunteer K-12 Teacher
2012 - present
Aarohan is an NGO charitable organization based in the Jagdumba camp slums in New Delhi, India. Their goal is to provide education and support to India's lower economic strata. I taught advanced science, mathematics, english, basic computer skills, and lifestyle courses to children from age 4 to 22. I continue to provide support to Aarohan, as it is an organization very close to my heart.
Science Museum of Minnesota
Volunteer Program Teacher
2004 - 2008
While working at the Science Museum I had the opportunity to engage visitors in outdoor activities such as, saving the environment, going green, and staying healthy.
EDUCATION
Harvard Medical School
Department of Biomedical Informatics
2019 - present
As part of my T32 training program, I am taking several courses from the department of biomedical informatics masters in science, in the areas of precision medicine, clinical informatics, and data science.
University of Minnesota
Department of Computer Science
PhD in Computer Science
2012 - 2017
I completed my PhD in computer science in December 2017. My advisor was Dr. Jaideep Srivastava, and my committee members were Dr. Vipin Kumar, Dr. Abhishek Chandra, Dr. Gyorgy Simon and Dr. Louis Kazaglis. I was also the recipient of the University's Doctoral Dissertation Award in 2017.
University of Minnesota
Department of Computer Science
Master of Science in Computer Science
2012 - 2015
I received my masters degree based on coursework completed for my PhD.
University of Minnesota
College of Science and Engineering
Bachelor of Science in Mathematics
2006 - 2010
My undergraduate degree was in Mathematics with a special focus on actuarial science and a minor in econometrics. Starting my Freshman year, I joined a number of different research projects. My first research project was with the Masonic Cancer Centre's Department of Therapeutic Radiology, where I assisted PhD students in radiating cancer cells, developing mathematical models for 41Ca tracers, and collecting and interpreting patient data. I also had a UROP project with the Institute of Applied Mathematics. The UROP project involved C++ programming for simulating drug release kinetics of matrix tablets. I later joined several social computing research projects in the computer science department, where I crawled social media sites for data collection, and worked with PhD students on their respective research areas.