The mDOT Center

Transforming health and wellness via temporally-precise mHealth interventions

Monday, October 30, 2023 | 8:00 AM – 5:00 PM ET

The Visioning Workshop on Generative mHealth Interventions for Emerging Wearables is designed as a dynamic and forward-thinking event bringing together experts from academia and industry. The workshop utilizes a multifaceted approach, incorporating presentations, brainstorming sessions, demos, breakout groups, and networking opportunities. This format ensures active engagement, collaborative discussions, and knowledge exchange among participants.

This workshop provides a forum to discuss both the significant opportunity that the conjunction of generative AI and novel wearables represents in the mobile health space, and the significant scientific and socio-technical challenges that need to be overcome to ensure that resulting approaches are safe, efficacious, ethical, contextually appropriate, engaging and adaptive.

Workshop Objectives:

The workshop serves as a platform for exploring the innovative synergy between generative AI and emerging wearable technologies. It aims to delve into the limitless possibilities these technologies offer, especially in the realm of behavioral health interventions. Participants will engage in discussions on how generative AI models and wearable devices can be integrated to create novel intervention approaches.

By focusing on generative AI, wearables, and mHealth interventions, the workshop aims to identify specific opportunities and challenges in leveraging these technologies. This includes understanding the capabilities of generative AI models in synthesizing text, speech, images, and video, and exploring how these components can be deployed effectively on wearables like hearables and AR devices.

  1. Participants will tackle the ethical, technical, and socio-technical challenges associated with generative AI and wearable technologies. This includes ensuring the interventions are safe, efficacious, ethical, contextually appropriate, engaging, and adaptive. Discussions will revolve around aligning interventions with existing treatment guidelines, overcoming data scarcity, dealing with between-person variability, and addressing missing data in the context of wearable health sensing technologies.


The workshop incorporates brainstorming sessions where experts collaboratively explore generative AI applications for health interventions. Breakout sessions in concurrent tracks (Generative AI, VR/AR, and Hearables) facilitate in-depth discussions and knowledge sharing among specialized groups. Networking breaks and continued breakout sessions foster collaboration and provide opportunities for attendees to connect and exchange ideas.

A pivotal goal of the workshop is to develop a strategic roadmap. Through report-back sessions and working groups, attendees will summarize key findings, insights, and gaps identified during the workshop. These inputs will contribute to the development of a white paper outlining the research agenda for this emerging research area, guiding future studies and innovations in the field.

The closing session of the workshop will provide a platform for summarizing outcomes and contributions. Participants will share insights gained and discuss the next steps for the research community. The workshop aims to foster a sense of community, encouraging ongoing collaboration, knowledge exchange, and joint initiatives in the evolving landscape of generative mHealth interventions and wearable technologies.


Science & Engineering Complex

Science & Engineering Complex, Rm 4.307
Harvard University
150 Western Avenue
Allston, Massachusetts, 02134


Harvard Square Hotel

110 Mount Auburn Street
Cambridge, Massachusetts, 02138

Phone: 617-864-5200


Key Details:

The workshop will take place in the Science & Engineering Complex at Harvard University. The Science and Engineering Complex (SEC) is the most significant new building constructed by Harvard in a generation.

SEAS Administration and the labs and offices of approximately half of the SEAS faculty are housed in this building, along with student- and industry-facing departments, sloped and flexible flat classrooms, maker space and teaching labs, a library, café, dedicated space for student organizations, and extensive common space to encourage interaction and collaboration.

Science & Engineering Complex, Rm 4.307
Harvard University
150 Western Avenue
Allston, Massachusetts, 02134

The majority of workshop attendees will be staying at the Harvard Square Hotel, located just 10 minutes from the Science & Engineering Complex by shuttle (or 19 minutes by foot).

Harvard Square Hotel
110 Mount Auburn Street
Cambridge, Massachusetts, 02138

Phone: 617-864-5200

Those driving to the conference venue and looking to park on the Harvard Campus can purchase and print online daily parking permits at  It is suggested that you setup your account and purchase your daily permit beforehand so that lots that are conveniently close to the conference venue (Harvard’s Science and Engineering Complex) do not sell out.  A permit is $22 and one is need for each day.  While setting up your guest account use the following steps to fill out the mandatory information for Harvard’s parking system:


  1. When prompted, chose the category of ‘EVENT PARTICIPANT’ as the reason for visit

  2. Chose ‘EVENT’ as the subcategory – select the only one available (Sackler Museum)

  3. On the next screen, under Harvard Destination, please select: ‘150 WESTERN AVENUE, ALLSTON, MASS 02134’.  Note that you must choose the ALLSTON location NOT the Cambridge one.

  4. Next choose the date you want the permit for

  5. Hit the blue search button to bring up a list of lot locations


The recommended lots are:

  • 114 Western Avenue Lot
  • 125 Western Avenue Lot
  • 2 Hague Street Lot


***  Please note that the permit must be printed and displayed in order to be valid.  ***

Continental breakfast, freshly brewed coffee, and hot tea will be available from 8:00 am onwards just outside the meeting room in the Science & Engineering Complex, Room 4.307. Attendees are encouraged to join between 8:00 am and 8:30 am, allowing ample time for networking and catching up before the workshop begins.

For attendees staying at the Harvard Square Hotel, a shuttle that runs to the conference venue on the Harvard Campus will run each morning.  A shuttle will also run back to the Harvard Square Hotel from the conference venue on Day 1 only.  The shuttle schedule is as follows:


If you are visiting campus and have not received credentials from a Harvard community member, you’ll need to follow these instructions to register for access.

1. Connect your computer to the Harvard University wireless network.

2. Go to in your web browser and click I am a Guest.

3. Click Register for Guest Access.

4. Fill out your Name, Phone Number, and Email Address, and select the box to agree to the terms of use. Click Login to receive your credentials.

5. Your Guest Credentials will now be shown and you can click login to gain network access. Once logged in you will be online and can browse the internet.
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Executive Advisory Board Members

Jason Hong, PhD  | Professor in the Human Computer Interaction Institute | Carnegie Mellon University

David Kennedy, PhD  | Professor of Psychiatry | University of Massachusetts Medical School

Veena Misra, PhD  | MC Dean Distinguished University Professor | NC State University

Jimeng Sun, PhD  | Health Innovation Professor | University of Illinois Urbana-Champaign – Spotlight Speaker

mDOT Center Investigators

Santosh Kumar, PhD  | Lillian & Morrie Moss Chair of Excellence Professor | University of Memphis – Center Director, Lead PI, TR&D1, TR&D2, TR&D3

Jim Rehg, PhD  | Founder Professor of Computer Science | University of Illinois Urbana-Champaign – Center Deputy Director, TR&D1 Lead

Susan Murphy, PhD  | Professor of Statistics & Computer Science | Harvard University – TR&D2 Lead

Benjamin Marlin, PhD  | Associate Professor | University of Massachusetts Amherst – Co-I, TR&D1, TR&D2 – Spotlight Speaker

Emre Ertin, PhD  | Associate Professor | The Ohio State University – TR&D3 Lead

Mani Srivastava, PhD  | Professor of Electrical Engineering & Computer Science | University of California, Los Angeles – Co-I, TR&D3

Vivek Shetty, DDS, MD | Professor of Oral & Maxillofacial Surgery/Biomedical Engineering | University of California, Los Angeles – Training & Dissemination Lead

Invited Researchers & Industry Experts

Kate Bentley, PhD  | Assistant Professor | Harvard Medical School

Niteesh Choudhry, MD, PhD   | Professor of Medicine | Harvard Medical Center

Patrick Emedom-Nnamdi, PhD  | Co-founder & Chief Scientist | Raia Health

Satrajit Ghosh, PhD  | Principal Research Scientist | McGovern Institute

Stephanie Goldstein, PhD  | Assistant Professor of Psychiatry & Human Behavior | Brown University

Jim Harper, PhD  | Co-founder & Chief Operating Officer | Sonde Health

Stephen Intille, PhD  | Professor | Northeastern University

Inki Kim, PhD  | Assistant Director of Research in Medical Simulation | University of Illinois Urbana-Champaign – Spotlight Speaker

Erik Larsen, PhD  | Vice President of Product Validation | Sonde Health – Spotlight Speaker

Misha Pavel, PhD  | Research Professor | Northeastern University

Brandon Westover, MD, PhD  | Professor of Neurology | Beth Israel Deaconess Medical Center / Harvard Medical School

Research Postdocs & Students

Yuyi Chang  | Doctoral Student | The Ohio State University

Asim Gazi, PhD | Postdoctoral Fellow in Computer Science | Harvard University

Karine Karine  | Doctoral Student | University of Massachusetts Amherst 

Ivana Malenica, PhD | Postdoctoral Fellow in Statistics | Harvard University 

Sameer Neupane  | Doctoral Student | University of Memphis

Xiaomin Ouyang, PhD  | Postdoctoral Researcher | University of California, Los Angeles

Mithun Saha  | Doctoral Student | University of Memphis

Max Xu  | Doctoral Student | Georgia Institute of Technology

Ziping Xu, PhD | Postdoctoral Fellow in Statistics | Harvard University 

Joseph Biggers

Director of Operations

Shahin Sameie

Director, Research Data & Studies

Lyndsey Tran

Manager, Communications