Resume

Interests:

  • Human-Computer Interaction
  • Mobile Health
  • Experience Sampling
  • Personal Informatics

Education:

  • Ph.D., Personal Health Informatics, 2015 – 2021 (expected)
    Khoury College of Computer Sciences,
    Bouve College of Health Sciences,
    Northeastern University, Boston, MA
    Thesis title: Measuring Subjective Experiences using Wearable Microinteractions
    Advisor: Prof. Stephen S Intille, Thesis Committee: Prof. Matthew Goodwin, Prof. Justin Manjourides, and Prof. Genevieve Dunton
  • Bachelors in Design (B.Des), 2009 – 2013
    Department of Design,
    Indian Institute of Technology (IIT), Guwahati, India
    Advisors: Prof. Pradeep Yammiyavar and Prof. Debayan Dhar

Research Experience:

  • Research Intern, Philips Design
    Philips Research, Cambridge, MA
    (May 2019 – Aug 2019)
    Advisor: Leontien de Roode

  • Research Assistant, mHealth Research Group,
    Northeastern University, Boston, MA
    (Sept 2015 – present)
    Advisor: Prof. Stephen S Intille

  • Visiting Research Assistant, Human-Technology-Interaction Lab,
    The Eindhoven University of Technology, The Netherlands
    (May 2012 – July 2012)
    Advisors: Prof. Jaap Ham and Prof. Cees Midden
  • Research Assistant, UE & HCI Lab,
    Indian Institute of Technology, Guwahati, India
    (Jan 2012 – April 2012)
    Advisors: Prof. Pradeep Yammiyavar and Prof. Debayan Dhar

Industrial Experience:

  • Sr. User Experience Researcher, Next Experiences with Technology (NxT) Lab,
    Samsung Electronics, R&D Institute, Bangalore, India
    (Mar 2015 – Jul 2015)
  • User Experience Researcher, Next Experiences with Technology (NxT) Lab,
    Samsung Electronics, R&D Institute, Bangalore, India
    (Jul 2013 – Feb 2015)
  • User Experience Design Intern,
    Iridium Interactive Pvt. Ltd., Hyderabad, India
    (May 2011 – Jul 2011)

Honors and Awards:

  • BostonCHI Lifetime Membership awarded by FutureWei Technologies, 2020.
  • NU-TECH + AWS Award to support the development of human-computation games using AWS. Received $5000.00 worth of AWS credits as part of NEU Center for Entrepreneurship Education, 2018.
  • Best Presentation Award at Human Factors and Ergonomics Society (HFES), New England Chapter’s Student Research Symposium, 2018.
  • Amandus H. Lundqvist Scholarship (ALSP-silver) for masters studies in TU Eindhoven, The Netherlands, 2015.
  • Young Achiever of the Year (2nd Position), Samsung Annual Awards, 2013-14
  • Employee of the Month Award, Samsung R&D Bangalore, October 2013
  • Best Research Paper Award, PERSUASIVE 2013

Service:

  • Vice-chair, BostonCHI, Boston-area chapter of ACM SIGCHI (2021 – present)
  • Member, ACM SIGCHI (2021 – present)
  • Member, Steering committee (programing and speaker engagement) at BostonCHI, Boston area chapter of ACM SIGCHI (2018 – present)
  • Member, Healthcare Information and Management Systems Society (HIMSS), New England Chapter (2020 – present)
  • Peer-reviewer (Computer Science): ACM Conference on Human Factors in Computing Systems (CHI 2017 – 2021), ACM Interactive Mobile, Wearable, and Ubiquitous Technologies (IMWUT or UbiComp 2019 – 2021), ACM Transactions on Computer-Human Interactions (TOCHI),  Proceedings of the ACM in Human-Computer Interaction (CSCW’21)
  • Peer-reviewer (Health and Behavior Science): Journal of Medical Internet Research (JMIR), Journal for Measurement of Physical Behavior (JMPB)
  • Peer-reviewer (Engineering): IEEE Conference on Engineering in Medicine and Biology Society (EMBS’19)
  • Open-source core-contribution, MixWILD (2017 – present), Signaligner Pro (2019 – present)
  • Student mentoring, Stephanie Santana (MPH’17 | Senior Consultant, Deloitte Life Sciences and Healthcare Practice), Krystal Huey (PharmD’18 | Fellow at Celgene), Clarence Hann (MS Game Science’19 | SDK Engineer at Pixelworks), Krit Goyal (MS Comp Science’20 | SDE at Amazon), Adeeb Arif (MS Cybersecurity’20 | Engineer at McAfee), Pranav Sharma (MS Comp Science’21), Spencer Franklin (BS Comp Science + Game Design’19 | Game Programmer at Eyewire)
  • Chair, Student Design Consortium, IndiaHCI 2015
  • Representative, DUPC (Department Undergraduate Program Committee), Department of Design, IIT Guwahati (2012-13)

Presentations:

  • [TALK] “The very basics of user research” at Indian School of Business — 2021. Host – Harmanpreet Singh (The UX Factor talk series)
  • [DEMO] “Signaligner Pro: A tool to explore and annotate multi-day raw accelerometer data” at IEEE PerCom (ARDUOUS Workshop) — 2021.
  • [TALK] “Improving health behavior measurements using mobile technologies” at University of West London (virtually) – 2020. Host- Prof. Jose Abdelnour Nocera
  • [TALK] “Introduction to mobile, wearable, and ubiquitous interaction design” – guest lecture at undergraduate level human computer interaction course at Northeastern University. Host – Stefan Olafsson (Instructor of record)
  • [TALK] “Health behavior research – A design problem” at GoInvo (formerly Involution Studios), Cambridge, MA — 2019. Host – Juhan Sonin
  • [TALK] “Microinteractions-based ecological momentary assessments (μEMA) using a smartwatch” at Patient-Reported Outcomes, Values, and Experiences (PROVE) center, Brigham and Women’s Health, Harvard Medical, Boston, MA — 2018. Host – Prof. Chris Sidey-Gibbons
  • [TALK] “Longitudinal measurement of self-reported behavior using wearable devices” at MITRE Corporation, Cambridge, MA — 2018. Host – Harry Sleeper
  • [TALK] “Using microinteractions for longitudinal measurement of human behavior”, at Human Factors and Ergonomic Society (HFES), New England Chapter Student Research Symposium, Draper Laboratories, Cambridge, MA –2018.
  • [POSTER] “Using microinteractions for longitudinal measurement of human behavior”, at Data Science in Biomedical Research (Marvin Zelen Memorial Symposium), Dana Farber Cancer Research Institute, Boston, MA — 2018.
  • [POSTER] “Using microinteractions for longitudinal measurement of human behavior”, at Research, Innovation, and Scholarship Expo (RISE 2018), Northeastern University, Boston, MA — 2018.
  • [POSTER] “Can microinteractions improve longitudinal measurement of behavior?” at Annual Boston Area Psychology Grad Student Symposium (April 2017), Northeastern University, Boston, MA — 2017.
  • [TALK] “Can microinteractions improve longitudinal measurement of behavior?”, at PHI Seminar on Health and Technology (Sept 2016), Northeastern University, Boston, MA — 2016.

Skills:

  • UX & HCI Research: Qualitative, Quantitative, Experiments, Interviews (Users & Experts), Questionnaire Designs, Experience Sampling, Psychophysiological Assessments, Item Response Theory
  • Usability & Design: Hi & Lo-fi Prototyping, Card Sorting, Personas & Scenarios, Participatory Design, Heuristic Evaluation, Wireframing, Information Architecture, A/B Testing, Think Aloud Protocols, Eye-Movement Recording and physiological assessments, Hierarchical Task Analysis
  • Programming: R, JAVA, Python, C#, SQL, SAS, HTML, CSS, C, ActionScript, Processing
  • Software/APIs: Android Studio, RStudio, PyCharm, Visual Studio Code, Unity, NetBeans, SPSS, SAS, Git, ActiLife (Actigraphy), GPower3, Adobe Creative Suite, InVision, Tableau, Plotly.Js, P5.js, Shiny, Mapbox, and AWS (S3 and DynamoDB)
  • Data Analysis: Univariate & Multivariate Statistics, Regression Analysis (Linear, Non-linear, and Logistic), Power Analysis, Factor Analysis, Applied Supervised Learning, Time Series Analysis, Multilevel Modeling, Visual Analytics, Data Visualization, Data Wrangling & Processing

Relevant Coursework:

  • Computer Science: Human-computer Interaction, Personal Health Interface Development, Mobile Application Development, Empirical Research Methods
  • Data Science: Intermediate Statistics, Advanced Biostatistics, Introduction to Machine Learning and Data mining
  • Engineering: Biosensors and Human Behavior Measurement
  • Health Sciences: Theoretical Foundations of Personal Health Informatics, Health Interface Evaluation, Psychometric Principles
  • Other Informal/Self-paced Training: Using Python for Research (EdX), Probabilistic Graph Models (Coursera), Improving Statistical Inference (Coursera) –> highly recommended!

Spoken Languages:

English (Working Proficiency), Hindi (Working Proficiency), Telugu (Working Proficiency), Sanskrit (Limited Working Proficiency)