10:00am, Poster Summit 1 - Humanities, Social Sciences & the Arts
11:00am, Poster Summit 2 - LLMs: Development, Application & Evaluation
1:30pm, Poster Summit 3 - Medicine and Health Sciences
2:30pm, Poster Summit 4 - Science, Engineering, and Math
5:00pm, AI at Yale Celebrating Climate Day Posters
| Presenter Name | Poster Title | Board # [1-26] |
|---|---|---|
| Barnes, Sophie | Using Artificial Intelligence to Improve Evidence Syntheses | 7 |
| Bowern, Claire | AI and the Voynich Manuscript | 21 |
| Candon, Kate | Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human-Robot Interactions | 19 |
| Chiu, Ethan | The Human Circuit: Labor in AI’s Semiconductor Supply Chain | 3 |
| Cosme-Clifford, Nicole | Play a song from the Jukebox: Music analysis in the age of generative AI | 1 |
| Dhital, Ekata | AI Music Generation: Temporal Coherence and Adaptable Control Through Transformer | 2 |
| Dunlap, Deja | A Comparative Evaluation of the Usage of African-American Vernacular English in Large Language Models | 24 |
| Enimil, Sandra | AI and Library/Cultural Heritage Collections | 22 |
| Ghili, Soheil | AI Economic Agents | 4 |
| Ghose, Debasmita | Adapting Robot Actions to Human Intentions in Dynamic Shared Environments | 10 |
| He, Yifan | Stance Detection in 19th Century Newspapers: Morrill Tariff and the Civil War | 15 |
| He, Yifan | Use LLMs and MLLMs to Know More about CEOs from Company Annual Reports | 16 |
| Kelly, Dan | AI’s role in Agriculture | 14 |
| Kennedy, Joy | Critical Self-Reflection on Simulation-Based Learning in Speech-Language Pathology Education | 17 |
| Kissinger, Hannah | Emotionally Intelligent AI: Exploring the Role of AI-Generated Imagery in Alumni Engagement | 9 |
| Lee, Da-eun | Identifying Suicidal Young Adults using Nonverbal Behaviors: A Machine Learning Approach | 12 |
| Lee, Kyungho | Copyright, AI, and Market Competition: Economic Analysis with Unstructured Data | 5 |
| Leon, Rosamaria | AI in Open Education Resources for Language Studies | 11 |
| Li, Jasmine | Heal Aura: Revolutionizing Wellbeing at the Intersection of Art, Technology and Human Experience | 23 |
| Lopez Palacio, Sergio | AI is Already in the Classroom: Why Bans Fail and Literacy Can (Potentially) Help Us | 13 |
| Masetti, Natalie | How Worried Are Teens About AI? A Nationally Representative 2024 Study | 18 |
| Monico, Carmen | Simulation to create more inclusive and effective learning environments in higher education | 25 |
| Wang, Paul | Machine Learning for Air Quality Discrepancy Analysis | 6 |
| Yang, Elisabeth | How Algorithmic Brokers in a Healthcare Organization Manage the Deluge of AI Predictions | 26 |
| Zhang, Vincent | CDEMapper 2.0: Expediting collaborative review and facilitating consensus building during Common Data Elements mapping | 8 |
| Zhu, Hongting | Digital Object | 20 |
| Presenter Name | Poster Title | Board # [1-26] |
|---|---|---|
| Angelo, Vincent | Enhancing Drug Discovery Through Scalable AI & Trust | 15 |
| Bowern, Claire | AI and the Voynich Manuscript | 2 |
| Cui, Sasha | Benchmarking in Multi-Agent Systems: Negotiation, Persuasion, Litigation, and Co-opetition | 1 |
| Dufe, Mercy | Simulation for workforce development in health care settings: Emerging themes from a literature review using an AI-powered tool | 3 |
| Dunlap, Deja | A Comparative Evaluation of the Usage of African-American Vernacular English in Large Language Models | 25 |
| Gupta, Madeline | Echo: Machine Learning for an Anishinaabemowin Text Generation | 4 |
| He, Huan | MedTaxon: Accelerating Biomedical Taxonomy Construction with A Web-based Interactive Tool using Large Language Models | 5 |
| He, Yifan | Stance Detection in 19th Century Newspapers: Morrill Tariff and the Civil War | 11 |
| Kelly, Dan | AI’s role in Agriculture | 6 |
| Liu, Kaili | MDCure: A Scalable Pipeline for Multi-Document Instruction-Following | 7 |
| McCoy, Tom | Understanding the abilities of AI systems | 8 |
| McCoy, Tom | How to evaluate large language models: Insights from linguistics | 9 |
| Merz Hoffmeister, Liam | Language-Driven Planning and Adaptive Execution in Robotics | 19 |
| Ogundiran, Aramide | Code Orange Code Blue: AI Chatbot for Personalized Support and Information in the Morgan State Computer Science Department | 10 |
| Ondov, Brian | Using Machine Learning to Create a Visual Timeline of Immunotherapeutic Research | 13 |
| Qian, Lingfei | Extracting Language Information from Clinical Notes Using Large Language Models | 12 |
| Ren, Yang | A Prompt Library for Efficient Clinical Entity Recognition Using LLMs | 14 |
| Rizvi, Syed | Scaling Large Language Models for Next-Generation Single-Cell Analysis | 16 |
| Stojkovic, Vojislav | Python Program Demonstrating How NLP and LLMs Transform Understanding of Large Qualitative Data Sets | 18 |
| Tang, Xiangru | ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning | 20 |
| Wahi, Shawn | Talking to the Heart: A Multimodal AI for Conversational Cardiovascular Insight | 17 |
| Wingo, Kristian | Small Language Models: Using generative AI for teaching less commonly taught languages | 21 |
| Zhang, Haley Xiaohe | Unraveling Software Utilization for Biomedical Research: A 10-Year Trend Analysis on PubMed Abstracts | 22 |
| Zhang, Vincent | CDEMapper 2.0: Expediting collaborative review and facilitating consensus building during Common Data Elements mapping | 23 |
| Zhao, Yilun | SciArena: A Chatbot Arena for LLM-Assisted Literature Review Analysis | 24 |
| Zhou, Weipeng | ClaimsGPT-Instruct: A Large Concept Model for Patient Trajectory Forecasting | 26 |
| Presenter Name | Poster Title | Board # [1-26] |
|---|---|---|
| Angelo, Vincent | Enhancing Drug Discovery Through Scalable AI & Trust | 15 |
| Belledonne, Mario | Adaptive computation as a new mechanism for dynamic human attention | 1 |
| Berke, Marlene | MetaCOG: A Heirarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations | 2 |
| Bi, Wenyan | Uncovering the Brain’s Visual Object Representations with Probabilistic Programming and Deep Neural Networks | 3 |
| Brennand, Kristen | Genetics of Brain Disease | 4 |
| Chen, Joanna | Unsupervised Segmentation of Histopathology Using Robust AI Imaging Biomarkers | 5 |
| Chen, Xi | Comparing Primary Care Physician and AI Chatbot Capacities to Manage Chronic Diseases: Evaluations Using Simulated Patients | 6 |
| Gu, Xiaosi | Computational psychiatry: can AI solve the mental health crisis? | 8 |
| He, Huan | MedTaxon: Accelerating Biomedical Taxonomy Construction with A Web-based Interactive Tool using Large Language Models | 26 |
| Hu, Yuxuan | In Silico Prediction of Human Organ Toxicity via Artificial Intelligence Methods | 9 |
| Kennedy, Joy | Critical Self-Reflection on Simulation-Based Learning in Speech-Language Pathology Education | 10 |
| Lee, Da-eun | Identifying Suicidal Young Adults using Nonverbal Behaviors: A Machine Learning Approach | 13 |
| Lieffrig, Eléonore | Enhancing Brain Imaging Quality with Artificial Intelligence Head Motion Correction | 11 |
| Liu, Kaili | MDCure: A Scalable Pipeline for Multi-Document Instruction-Following | 21 |
| Monico, Carmen | Contributions of AI in healthcare and disease prevention | 12 |
| Ondov, Brian | Using Machine Learning to Create a Visual Timeline of Immunotherapeutic Research | 20 |
| Patel, Aakash | BrainLM: Toward a Foundational Model of Cognition Bridging Brain Imaging and Language | 14 |
| Peng, Xueqing | How Researchers Claim Novelty in Biomedical Science: A Taxonomy for Understanding Innovation | 7 |
| Ramos, S. Raquel | CARDIO: Conversational AI Platform for Enhancing CVD Prevention in Persons with HIV - An Interdisciplinary Collaboration between Nursing and Computer Science | 16 |
| Sun, Xiatao | Surgical Tool Angle Inference during Robotic Surgery via Learning-based Vision Models | 22 |
| Valizadeh, Amir | AI-Powered Precision: DNA Methylation Predicts Ketamine Response in PTSD | 17 |
| Wahi, Shawn | Talking to the Heart: A Multimodal AI for Conversational Cardiovascular Insight | 18 |
| Wang, Jiyao | AI-Assisted Analysis of Human Brain Functions | 19 |
| Yang, April | Envisioning AI-Enhanced Precision Health: Multimodal Integration of Genomics, EHR, and Wearable Data | 23 |
| Yang, Elisabeth | How Algorithmic Brokers in a Healthcare Organization Manage the Deluge of AI Predictions | 24 |
| Zaboski, Brian | Precision Medicine through AI: Predicting Therapy Outcomes for OCD | 25 |
| Presenter Name | Poster Title | Board # [1-26] |
|---|---|---|
| Candon, Kate | Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human-Robot Interactions | 1 |
| Chen, Sheng | AI-Predictive Design of Self-Healing Active Materials Through Defect Dynamics | 12 |
| Cheng, Jing | Machine Learning for High-Resolution Structural Biology in Cells | 13 |
| Du, Yuexi | Robust and Efficient Rotation-Equivariant Imaging and Biomarker Discovery | 14 |
| Georgiou, Nicholas | Understanding The Impacts of Failures on Human-AI Interactions | 2 |
| Gershkovich, Peter | Beyond AI-Coding: Security, Speed, and the Future of Clinical-Grade Software | 16 |
| Ghose, Debasmita | Adapting Robot Actions to Human Intentions in Dynamic Shared Environments | 3 |
| Gu, Xiaosi | Computational psychiatry: can AI solve the mental health crisis? | 20 |
| Jain, Nilesh | Impacting climate change using Denoising Diffusion as a New Framework for Underwater Images | 5 |
| Lee, Jonathan | Accelerating geological carbon storage through neural operators | 9 |
| Liu, Langchen | AI empowered generalizable end-to-end PDE discovery | 18 |
| Lu, Lu | Kaggle scientific competition focused on physics-guided data-driven computational imaging | 10 |
| Lu, Lu | Neural operators accelerated by quantum computing | 11 |
| Merz Hoffmeister, Liam | Language-Driven Planning and Adaptive Execution in Robotics | 4 |
| Muellers, Tobias | Constrained Generation of Novel Non-Bioaccumulative Insecticides | 15 |
| Peng, Xueqing | How Researchers Claim Novelty in Biomedical Science: A Taxonomy for Understanding Innovation | 19 |
| Schroder, Tyler | Cybersecurity Considerations for AI Agents, Now and Tomorrow | 21 |
| Shah, Aalap | A computational framework for understanding embodied plans | 6 |
| Shao, Yanjun | ContrastTCR: Enhancing T-cell Receptor-Epitope Binding Prediction through Contrastive Learning of Joint Representations | 22 |
| Sun, Xiatao | Surgical Tool Angle Inference during Robotic Surgery via Learning-based Vision Models | 7 |
| Sutradhar, Sabyasachi | AI-based diagnosis of perturbed neuronal morphologies | 23 |
| Townsend, Jeffrey | AI-Driven Integration of Multi-Dimensional Data to Decode Biological Complexity | 24 |
| Wang, Anjiabei | Understanding and Modeling Human Corrections in Human-Robot Interaction | 8 |
| Yao, Yuan | Environmental Applications of Artificial Intelligence for Climate-Smart Agriculture | 17 |
| Yilmaz, Hakan | Multi-area processing in body patches of the primate inferotemporal cortex implements inverse graphics | 25 |
| Zhu, Rui | Unlocking Nonlinear Genetic Insights: A Deep Learning Framework for Genotype-to-Phenotype Prediction | 26 |
This joint session celebrating Climate Day caps two conferences on AI: the Envisioning AI at Yale Symposium and the Yale Climate Day & Yale Carbon Capture Spring symposium. Please join presenters and invited guests for a selection of research posters, conversation and refreshments. These research posters present AI engaged solutions for environment and climate issues.
| Presenter Name | Poster Title | Board # [1-26] |
|---|---|---|
| Cheng, Jing | Machine Learning for High-Resolution Structural Biology in Cells | 19 |
| Cheung, Kei-Hoi | TEXT-WATER: Contextualizing Data for Environmental Exposure to Emerging Water Contaminants | 1 |
| Chiaravalloti, Isabella | Machine Learning as a Tool to Decipher Levers on N2O Fluxes | 18 |
| Gedenidze, Mariam | Synthetic Control with Multiple Outcomes for forest conservation Impact Evaluation | 6 |
| Hellenkamp, Skye | Can we manage forest edge temperatures of Amazonia’s agricultural frontier? | 10 |
| Jain, Nilesh | Impacting climate change using Denoising Diffusion as a New Framework for Underwater Images | 3 |
| Jurado, Samuel and team | A decade of precipitation extremes shapes long-term forest-atmosphere carbon and water flux within a temperate mesic forest | 7 |
| Jurado, Samuel and team | A decade of precipitation extremes shapes long-term forest-atmosphere carbon and water flux within a temperate mesic forest | 8 |
| Lee, Jonathan | Accelerating geological carbon storage through neural operators | 16 |
| Liu, Riyang | Leveraging Space-Time Transformer as a Foundation Model for Hourly Wildfire PM2.5 Component Estimation | 9 |
| Muellers, Tobias | Constrained Generation of Novel Non-Bioaccumulative Insecticides | 14 |
| Reed, David | Hurricane Resilience in Data Limited Mangrove Blue Carbon Forests | 12 |
| Silva, Patrícia | Unveiling the climate drivers of extreme wildfires in the Amazon | 11 |
| Talib, Ammara | How water use efficiency and carbon use efficiency vary within ecosystems | 2 |
| Townsend, Jeffrey | AI-Driven Integration of Multi-Dimensional Data to Decode Biological Complexity | 21 |
| Wang, Hannah | Machine learning-assisted global life cycle assessment reveals long-term biochar-crop 1 design strategies for climate-smart agriculture | 13 |
| Wang, Junna | Using Random Forest to Understand Drivers of Thermal Acclimation in Ecosystem Respiration | 4 |
| Wang, Paul | Machine Learning for Air Quality Discrepancy Analysis | 20 |
| Yao, Yuan | Environmental Applications of Artificial Intelligence for Climate-Smart Agriculture | 15 |
| Zhang, Boya | AI-based mapping of the expansion of low productivity zones in the southeastern saline Everglades using satellite remote sensing data | 5 |
| Zikiou, Nadia and team | Mapping Carbon Reserves in Temperate Forests: AI-Driven Insights from Planet Imagery | 17 |
| Zikiou, Nadia and team | Mapping Carbon Reserves in Temperate Forests: AI-Driven Insights from Planet Imagery | 22 |
| Zikiou, Nadia and team | Unveiling Carbon Dynamics in African Tropical Forests Using Sentinel-2 Spectral Indices | 23 |
| Zikiou, Nadia and team | Unveiling Carbon Dynamics in African Tropical Forests Using Sentinel-2 Spectral Indices | 24 |
| Zikiou, Nadia and team | High-Resolution LiDAR for Biomass Estimation: A Deep Dive into Connecticut’s Forest Carbon Stock | 25 |
| Zikiou, Nadia and team | High-Resolution LiDAR for Biomass Estimation: A Deep Dive into Connecticut’s Forest Carbon Stock | 26 |