Dear Members of the HMS Community:
I am pleased to announce the awardees of the 2024 Dean’s Innovation Awards for the Use of Artificial Intelligence in Education, Research, and Administration. This new program is designed to support innovative applications of artificial intelligence that enhance learning, improve health outcomes, increase productivity, and accelerate biomedical discoveries.
By experimenting with this nascent and rapidly evolving technology, the awardees will explore how AI can be leveraged to advance the HMS mission and thereby benefit the entire HMS community.
Please join me in congratulating the awardees on the HMS Quadrangle and at HMS-affiliated institutions.
Sincerely,
George Q. Daley
Dean of the Faculty of Medicine
Harvard University
The following are the Dean’s Innovation Awards awardees.
Education
AIBLE-KNOWHOW: AI-based learning & education optimized with a KNOWledge heatmap of working clinical learners
Narath Carlile, Parsa Erfani, and Daniel Marcusa
Just-in-time teaching and consolidation — using GAI to support medical students and teachers in case-based-collaborative learning
Barbara Cockrill, Henrike Besche, Randall King, and Richard Schwartzstein
The future patient persona: An interactive, large language model-augmented Harvard clinical training companion
Susan Farrell, Arya Rao, and Marc Succi
A framework for simulation-based dental education using generative modeling
Magda Feres, Chia-Yu Chen, Balazs Feher, Sang Lee, Nathan Palmer, and Andreas Werdich
An AI tutor for medical microbiology
Sanjat Kanjilal and Henrike Besche
Guiding perceptual learning in medical students using AI models of visual perception
Gabriel Kreiman, Richard Mitchell, and Morgan Talbot
The 900 images project: Minimizing post-scar sequelae via image generation for patients with diverse skin tones
Samuel Lin, Vikas Bommineni, Daniela Lee, and Massoud Sharif
Authentically integrating artificial intelligence into assessments and tutoring within a graduate level molecular biology course at Harvard Medical School
Joseph Loparo and John Peters
Learning modules for generative AI in computing and data science education
Aparna Nathan
Generative AI for personalized education and assessment in tissue biology and pathology
Peter Sorger, John Hoffer, Jeremy Muhlich, and Han Xu
Harnessing generative AI to create learner-centered and evidence-based course syllabi
Taralyn Tan and Krisztina Fischer
Research
Designing viral-like particles (VLPs) using generative AI for delivery of nucleic acid therapeutics
George Church and Dima Ter-Ovanesyan
GENEX: Generative AI platform to multiplex protein engineering
George Church
Using large language models to predict natural behavior
Sandeep Datta and Timothy Sainburg
Language into clinical data (LCD)
Zak Kohane and Paul Avillach
AI-human collaboration for multimodal medical diagnosis
Arjun Manrai
Learning to predict and design proteins with deep generative models
Debora Marks, Evan Cofer, Pascal Notin, and Noor Youssef
ViTO: Vision transformers on O2
Sean Megason and Simon Nørrelykke
Interpretable neuro-foundation models for discovering generalization mechanisms in the brain
Kanaka Rajan, Ryan Badman, and Satpreet Singh
A conversational framework for assessing medical large language models
Pranav Rajpurkar
In silico screening for protein-protein interactions using AlphaFold-Multimer
Johannes Walter
Generative artificial intelligence for explainable colorectal pathology evaluation
Kun-Hsing Yu and Chris Lin
Exploring multimodal and generative protein language models for therapeutic development
Marinka Zitnik
Administration
Bot on ARC (B-ARC)
Megan Halligan and Margaret Ivins
CV screener: An AI-enhanced application to assess eligibility and policy compliance for faculty appointments
Grace Huang, Melinda Dellert, Deborah Koutsioumpas, and Joelle Lomax
Promotion bot: An AI-enabled tool to facilitate the analysis of dossiers for academic promotion
Grace Huang, Joelle Lomax, Jennifer Shin, and Bethany Westlund
CV storyteller: Enhancing faculty CVs with AI-generated narratives
Syndi Kim and Joelle Lomax
TeachTally: A CV generator enhancement to quantify unstructured teaching data
Syndi Kim and Joelle Lomax
Improving the efficiency and quality of agreement reviews through use of AI tools
Melissa Korf
GenAI (generative AI) tools to improve O2 job efficiency and experience
Spencer Pruitt, William Barnett, Calvin Cox, Lingsheng Dong, Amir Karger, and Raffaele Potami
Program in Medical Education — Neural search for curricular reporting and insights
Evan Sanders, Michele Cohn, and Jane Neill
From ARI to AIRI: Examining generative AI applied within — and with — research integrity
Blake Talbot, Katherine Stebbins, Daniel Wainstock, and Erinn Walsh
Building community through an integrated AI-powered onboarding and social connectivity infrastructure
Hera Vlamakis, Marie Bao, Trisha Sardesai, and Vonda Shannon