Poster Sessions, AI at Yale Symposium 2026

There are three formal poster sessions at 10:30am, 1:00pm, and 2:30pm.  Below are the poster titles and presenters.  

  • Location: All poster sessions are held in Kline 14.  
  • Food and Beverage: Coffee and snacks available.  
  • During lunch and the reception, posters will be available on the boards for informal exploration using the tablets to move between options.
  • Presenters - there is an on site technician all day in Kline 14.

10:30am AI Across the Disciplines

1:00pm AI at Scale - From Use Cases to Workflows, Pipelines, and Platforms

2:30pm Advancing Health & Biological Sciences

10:30am AI Across the Disciplines

Kline 14

ePoster # Title Presenter Affiliation
1 Can Large Language Models understand Patient Goals and Preferences? Ramachandran, Sreeraj Postdoctoral Associate, Department of Emergency Medicine
2 Towards a Cultural History of ‘Prompting’ through Austrian Literature: Voice Imitators, Digital Theory and AI Lessmann, Stefan Lector, Department of Germanic Languages and Literatures
3 DreamFold: A Generative World Model to dream protein folding pathways in the latent space Ianeselli, Alan Postdoctoral Associate, Department of Molecular Biophysics and Biochemistry
4 A Federated and Parameter-Efficient Framework for Large Language Model Training in Medicine Li, Anran Research Affiliate, Department of Biomedical Informatics & Data Science
5 Self-directed Learning in Plastic Feedforward Networks that Zero-Shot Generalize and Continually Learn Levine, Daniel Postdoctoral Associate, Department of Internal Medicine
6 Toward Argument-Level AI Writing Support: A Neuro-Symbolic Multi-Agent Architecture Hu, Yaning Visiting Scholar, Yale-China Association
7 PinDrop Meghalaya: Delivering ML Predictions for Forest Conservation in Offline Environments Salwan, Samira Predoctoral Fellow, Department of Economics
8 RED-DiffEq: Regularization by denoising diffusion models for solving inverse PDE problems with application to full waveform inversion Shan, Siming Postgraduate Associate, Department of Statistics & Data Science
9 The AI Visibility Gap: Why Leaders Misread Capability inside their own Organizations Dubey, Ayush MBA, School of Management
10 Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning Li, Alan Ph.D., Department of Computer Science, Graduate School of Arts and Sciences
11 NYC Community Boards Dashboard Zeng, Tina B.A. in Global Affairs, Yale College and Jackson School of Global Affairs
12 Faithful Natural Language Uncertainty Expression in LLMs Liu, Gabrielle Ph.D. in Computer Science, Department of Computer Science
13 Recognizing Creators: A Set of Recommendations for Lawmakers on Acknowledging Original Creators in AI Development Wang, Katelyn B.A. in Economics and Political Science, Yale College
14 Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks Hobbs, Claire B.S. in Cognitive Science, Yale College
15 Fair Rent Commissions in the Age of Algorithmic Pricing Thao, Bridgitte B.A. in Sociology, Yale College
16 Mobilizing Investor Stewardship to Mitigate Human Rights Risks from AI-Enabled Military Technologies Panico, Isabella B.A. in Global Affairs, Yale College
17 Relationships, AI and Pseudo-relationships Lopez Palacio, Sergio Ethics, Yale Divinity School
18 Reimagining Civic Participation through AI-supported Digital Democracy Litch, Kaj B.A. in Global Affairs and Intensive Certificate in Human Rights, Jackson School of Global Affairs
19 “Who Gets Erased?”: Representational Power and Stereotyping in Large Language Models Kong, Puiyee B.S. in Computer Science and Economics, Yale College
20 Agent Cards and Contracts: A Governance Framework for Multi-Agent AI Collaboration Kim, Leslie B.A. in Computer Science and Psychology, Yale College
21 Regulating Synthetic Child Sexual Abuse Material in the Generative AI Age: Legal and Technical Solutions Gorlick, Mia B.A. in Ethics, Politics, and Economics with a Human Rights Certificate, Yale College
22 Who Owns Your AI’s Memory? Cai, Austin Alumnus, Yale College Class of ‘25, School of Management
23 Revealing Dataset Bias and Robust Representations in T Cell Receptor Language Models Garcia, Cristina B.S. in Biomedical Engineering and Data Science Certificate, Yale College
24 AI Chatbot Anthropomorphism and Its Increasing Impacts on Mental Health Garcia, Cristina B.S. in Biomedical Engineering and Data Science Certificate, Yale College
25 Philippine Data Governance for Indigenous Language Preservation: A Community-Led AI Framework Boston, Jake B.S. in Electrical Engineering and Computer Science, Yale College
26 Learning Randomized Reductions Typaldos, Thanos PhD, Computer Science

1:00pm AI at Scale: From Use Cases to Workflows, Pipelines, and Platforms

Kline 14

ePoster # Application Applicant Affiliation
1 MedViz: An Agent-based, Visually-guided Research Assistant for Navigating Biomedical Literature He, Huan Research Scientist, Department of Biomedical Informatics and Data Science
2 S-index – A Refined Data Sharing Index to Promote and Reward Biomedical Data Reuse Raja, Kalpana Instructor, Department of Biomedical Informatics and Data Science
3 The EHRNavigator Multi-Agent System for Patient-Level Clinical Question Answering over Heterogeneous Electronic Health Records Qian, Lingfei Department of Biomedical Informatics and Data Science
4 The Jagged Frontier of LLM Capabilities: Matching Models and Measures to Operational Use Cases Barnett, Charles Director of Continuous Improvement and Transformation, Controller’s Office
5 AI Opportunities in Business Processes: A Case Study from the Provost’s Office Strategy, Data, and Analytics Team Bavalsky, Alex Swensen Fellow in Strategic Analysis, Office of the Provost (Strategy, Data, and Analytics Team)
6 Agentic Environmental Data Proxy Discovery Koutieli, Sam PhD, Computer Science
7 Preserving Integrity: Content Authenticity and Provenance Metadata in the Age of AI Cirella, David Head of Digital Preservation, Preservation and Conservation Services
8 ARQA: A Multi-Agent Architecture for Supporting Complex Medical Literature Search Workflows DeMayo, Justin System and Application Specialist, Cushing/Whitney Medical Library
9 Enhancing the L&D Workspace with AI: Smarter Workflows, Better Training DiMeo, Rebecca Technology Training Consultant, Yale Medicine Training & Development
10 Protecting Young Scholars: Leveraging Generative AI for Pathways Safety Reviews Drayer, Courtney Associate Director, Environmental Health and Safety
11 Intent as the Interface: What happens if you could talk to design software? Guerrero, Vincent Chief Technology Officer, School of Architecture
12 Designing for Absence: Provenance and Data Sovereignty in AI Knowledge Infrastructure Pemberton, Keith BA History, Yale College
13 Building an AI-Assisted Editorial Workflow at the Yale School of Medicine Ledger, Jeremy Senior Editor/Writer and AI Content Lead, Yale School of Medicine Office of Communications
14 Foundation Models to Unlock Real-World Evidence from Nationwide Medical Claims Ma, Fan Postdoctoral Associate, Department of Biomedical Informatics and Data Science
15 AI-Assisted Digitization at Beinecke Library: A Research Pilot in Workflow Innovation Manton, Jonathan Director of Digital Special Collections and Access, Yale Library
16 Transforming Software Development Through an AI-First Approach Meenattoor, Anju Director of Software and Data Engineering, Office of Communications
17 Automating 165+ Hours of Administrative Data Tasks Skenazy, Isaac Associate Analyst, Analytics and Data Services in Alumni Affairs and Development
18 Metadata AI Orchestration System(MAOS) Wade, Tyler Metadata Specialist, Special Collections Technical Services
19 Power Agent: A Collaborative Multi-Agent Framework for Automated Statistical Power and Sample Size Determination Zeng, Yukang Postgraduate Associate, Section of Cardiovascular Medicine
20 Assessing Immunology Dataset Quality Through Literature Mining Zhou, Weipeng Postdoctoral Associate, Department of Biomedical Informatics and Data Science
21 From Compound Figures to Composite Understanding: Developing a Multi-Modal LLM from Biomedical Literature with Medical Multiple-Image Benchmarking and Validation Fu, Yihang M.S. in Health Informatics, Department of Biomedical Informatics and Data Science
23 Precision at Scale: AI-Driven PDF Remediation for Academic Equity Im, Eunkyoung M.B.A. Student, Technology Accessibility Resources and Services (STARS), Yale University
24 Literature-Based Extraction of Environmental Exposure Metadata Elements Zhou, Weipeng Postdoctoral Associate, Department of Biomedical Informatics and Data Science

2:30pm Advancing Health & Biological Sciences

Kline 14

ePoster # Application Applicant Affiliation
1 Understanding the Role of Large Language Models in Cancer Mortality Prediction: A Real-World Study Canavan, Maureen Associate Research Scientist, Department of General Internal Medicine
2 Hippocrates-o1: A Guideline-Aware, Orchestrated, Self-Refining Protocol for Specialty-Specific Clinical Reasoning Ong, Chin Siang Assistant Professor of Surgery, Department of Surgery
3 Continuous-Value Tokenization Improves Medical Foundation Model Performance McCann, Kent Clinical Fellow, Department of Emergency Medicine
4 Benchmarking generative scaffold design methods for peptide engineering in TCR–MHC complexes Xie, Linhui Postdoctoral Associate, Department of Biomedical Informatics and Data Science
5 Cardiac Spatio-Temporal Volumetric Mesh Reconstruction for Local Strain Computation and Monitoring Local Treatment Rickmann, Anne-Marie Postdoctoral Associate, Department of Radiology and Biomedical Imaging
6 Standardizing NF2-Related Schwannomatosis Surveillance Using AI-Based 3D Tumor Segmentation Howard, Katie Postgraduate Associate, Department of Orthopaedics and Rehabilitation
7 Predicting renal cell carcinoma outcomes from clinical trial data using multimodal genomic foundation models Wahi, Shawn Postgraduate Associate, Department of Internal Medicine, Section of Cardiology
8 Investigating Ultrastructural Correlates of Aging and Cognitive Decline Using Automated Segmentation of Volume Electron Microscopy Data Fan, Yutian Post Baccalaureate Researcher, Department of Neuroscience
9 Statistical Practices for Image-reliant Artificial Intelligence (AI) Tools Predicting Lung Cancer Outcomes: Human and Large Language Model (LLM) Appraisal of Recent Models Hou, Yiren Statistician, Department of Biostatistics
10 Multi-Objective AI Optimization of Sarcomeric Modulators: Designing Kinetic Myotropes for PH-HFpEF Skinner, Kenneth Blavatnik Fellow, Department of Chemistry
11 Beyond Black Box Prognosis: Vision–Language AI that Disentangles Tumor and Liver Drivers in HCC Yang, Junlin Postdoctoral Associate, Department of Radiology & Biomedical Imaging
12 Energy-based Unsupervised Domain Adaptation for Medical Imaging Chung, Younjoon Ph.D. in Computational Biology and Bioinformatics, Department of Biomedical Informatics and Data Science
13 T-cell Receptor Dynamics Modelling for Binding Prediction Denzler, Lilian Ph.D. Student and Visiting Scholar, Department of Biomedical Informatics & Data Science
14 FM-fMRI: Flow Matching for Task-based fMRI Time Series Synthesis Duan, Camille Ph.D. in Biomedical Engineering, Department of Biomedical Engineering
15 Mapping Chemical Space to Biological Function for Cancer Drug Discovery Elia, James Ph.D. in Pathology and Molecular Medicine, Department of Pathology
16 Toward Automated Cognitive Assessment in Parkinson’s Disease Using Pretrained Language Models Khanna, Varada Ph.D. in Computational Biology and Biomedical Informatics, Department of Biomedical Informatics and Data Science
18 Generalizable Super Resolution Magnetic Resonance Spectroscopic Imaging with Neural Operators Marshall, Andrew Ph.D. in Biomedical Engineering, Department of Biomedical Engineering
19 Knowledge-Grounded Reinforcement Learning for High-Fidelity Single-Cell Cluster Captioning Patel, Aakash Ph.D. in Computer Science, Department of Computer Science
20 C2S-GES: Unifying Language and Gene Expression Signatures Using LLMs Rizvi, Syed Ph.D. in Computer Science, Department of Computer Science
21 A Multimodal Foundation Model for Brain Biology: Integrating Chromatin Accessibility and Gene Expression at Single-Cell Resolution Shao, Yanjun M.S. in Computational Biology & Bioinformatics, Department of Biomedical Informatics & Data Science
22 Dissociating Core Autism Symptoms from Anxiety using Conformal Graph Neural Network Wang, Jiyao Ph.D. in Engineering and Applied Science, Department of Biomedical Engineering
23 Identifying Life-Course Risk Factors for Dementia Prediction using Machine Learning and Large Language Models Yu, Jiao Ph.D. in Health Policy, Department of Health Policy & Management
24 Progressive Test Time Energy Adaptation for Medical Image Segmentation Zhang, Xiaoran Ph.D., Department of Biomedical Engineering
25 Conditional Convolution of Clinical Data Embeddings for Multimodal Prostate Cancer Classification Zhong, Jiayang Ph.D. in Biomedical Engineering, Department of Biomedical Engineering
26 Outcome-Guided Disease Subgrouping via SHAP-Based Clustering: A Benchmarking Study (004657) Wang, Leona Ph.D. in Computational Biology and Bioinformatics, Department of Biomedical Informatics and Data Science