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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)





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.  

Boston Children's Hospital
Postdoctoral Research Fellow
January 2018 - September 2020

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. 

Qatar Computing Research Institute
Research Associate

​April 2016 - December 2016

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

Mayo Clinic
Research Intern in Tech

June 2014 - December 2014

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. 


Apple Inc.
Special Projects Group 
​January 2017 - September 2017
​June 2015 - September 2015​

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. 

Intel Corporation
Thermal Power Validation

​June 2013 - September 2013

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. 

Research Consultant 

​August 2012 - February 2013

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. 

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Mphasis (Previously Wyde Corporation)
Software Developer

​June 2010 - February 2013

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. 


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

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. 


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. 

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