This year, we have 75 project groups spread across a variety of topics.
The showcase is divided into two blocks based on topics, 11AM-12:30PM and 1-2:30PM.
The showcase will operate as a poster session, where attendees can approach the projects that interest
you and ask their teams questions.
Below, you'll find the posters, websites, reports, and code repositories for all projects.
Jump to:
Block 1 (11-12:30PM) •
Block 2
(1-2:30PM)
Block 1 (11AM-12:30PM)
💊 Medicine and Bioinformatics
A01-1 Effectiveness of PRS models Across Populations.
Garvey Li, Jason Hauk, Yiting Bu, and Yosen Lin (Mentor: Tiffany Amariuta)
A01-2 Modify PRS to incorporate Deep Learning Model to
better predict individual gene expression
Pallavi Prabhu, Sunan Xu, and Yunpeng Zhao (Mentor: Tiffany Amariuta)
A02-1 Advanced Clinical Decision Support System for Early
Sepsis
Detection and Risk Assessment
Ahmed Mostafa, Boqi (Bobby) Zhu, and Tongxun (Sherry) Hu (Mentor: Kyle Shannon)
A02-2 Advanced Clinical Decision Support System for Early
Sepsis
Detection and Risk Assessment
Ojas Vashishtha, Raine Hoang, and Rohan Duvur (Mentor: Kyle Shannon)
A03-1 Predicting Drug Resistance in Malaria Using Language
Models
Aditya Arun, Annie Pham, Aryan Shah, and Jared Simpauco (Mentor: Rob Knight)
A03-2
Assessing LLMs to Improve the Prediction of COVID-19 Status
Carmen Truong, Kathleen Nguyen, Lorenzo Ramos, and Sean Chan (Mentor: Rob Knight)
A04-1
Hierarchical Latent Variables Models for Neural Data Analysis
Charlie Gillet, Mohamed El-Shazly, and Nathen Leeo (Mentor: Mikio Aoi)
A04-2
Using Gaussian-Process Factor Analysis to Understand the Interplay Between Brain Regions in Decision Making
Beomsuk Seo, Luis Martinez-Chun, and Vaibhav Bommisetty (Mentor: Mikio Aoi)
A05-1
Exploring Working Memory Task Predictability using fMRI Data
Jennifer Hung, Judel Ancayan, and Sahana Narayanan (Mentor: Armin Schwartzman)
A05-2
Predicting of Handedness with Resting-State fMRI Data
Anastasiya Markova, Vicky Li, and Zhuoxuan Ju (Mentor: Armin Schwartzman)
A06-1
Integrating Multi-Omics Data to Enhance Protein-Protein Interaction Predictions Using Graph Convolutional
of
Microbes
Siddharth Vyasabattu, and Xiaoyu Gui (Mentors: Utkrisht Rajkumar and Thiago Mosqueiro)
A06-2
LLM-Driven Descriptive Analysis of Metaphase Cell Images Containing ecDNA
Andrew Yin, Archit Pimple, and Mohit Sridhar (Mentors: Utkrisht Rajkumar and Thiago Mosqueiro)
A06-3
Identifying ecDNA Genomic Regions using Graph Neural Networks
Matthew Dalquist, Vikram Venkatesh, and Vrisan Dubey (Mentor: Utkrisht Rajkumar and Thiago Mosqueir)
🤝 Fairness and Causal Inference
A07-1 Error Injection Robustness Classifier
Joshua Huang, Marlon Garay (Mentor: Babak Salimi)
A07-2 Addressing Voter Turnout Disparities through Data-Driven Resource Allocation
Angelina Zhang, Cici Xu (Mentor: Babak Salimi)
A07-3 Exploration of data heterogeneity and fairness on incarceration data
Lina Battikha, Sai Poornasree Balamurugan (Mentor: Babak Salimi)
A08-1 Investigating LLM Bias in Housing Contexts
Charisse Hao, Jenna Canicosa, Joseph Guzman, Lana Murray (Mentor: Stuart Geiger)
A09-1 Causal Discovery on Gut Microbial Data for Disease Risk Prediction
Candus Shi, Mariana Paco Mendivil, Nicole Zhang (Mentor: Biwei Huang and Jelena Bradic)
A09-2 Causality for Better Decision-making Policies in Autonomous Vehicles
Maryam Almahasnah, Hunter Brownell, Kevin Chan (Mentor: Biwei Huang and Jelena Bradic)
A09-3 Causal discovery of stock returns
Evelyn Huang, Jason Dai, Vivian Zhao, Yishan Cai (Mentor: Biwei Huang and Jelena Bradic)
A10-1 An Adversarial Framework for Mitigating Gender Bias in Coronary Heart Disease Prediction
Diego Silva, Patrick Salsbury, Kai Ni (Mentor: Emily Ramond and Greg Thein)
A10-2 Bias Detection and Mitigation in Ride Hailing
Ethan Lin, Rongjing Jiang, Wenbin Jiang (Mentor: Emily Ramond and Greg Thein)
A10-3 Ethics of Artificial Intelligence in Crime
AJ Falak, Catherine Back, Kavya Sriram, Yuancheng Cao (Mentor: Emily Ramond and Greg Thein)
🧠 Theoretical Foundations
A11-1 Probablistic Deep Sequence Models for Bayesian Optimization
Alaa Fadhl-Allah, Liam Manatt, Ethan Cao, Kyla Park (Mentors: Yian Ma, Rose Yu)
A11-2 Probablistic Deep Sequence Models for Bayesian Optimization
Manav Jairam, Annu Indraganti (Mentors: Yian Ma, Rose Yu)
A12-1 Improving Continual Test-Time Adaptation for Increased Efficiency and Accuracy
Ansh Mujral, Ifunanya Okoroma, Keenan Serrao, Nicholas Swetlin (Mentor: Junkun Wang)
A13-1 Novel Techniques in Private Data Analysis
Bradley Nathanson, Tyler Kurpanek, Christopher Lum, Trey Scheid (Mentor: Yu-Xiang Wang)
A13-2 Adversarial Attacks on Invisible Watermarks
Andy Truong, Anushka Purohit (Mentor: Yu-Xiang Wang)
A14-1 CLEAR: Contextual Latent Exploration for Adaptive Representation
Chia Hsun Lee, Minchan Kim (Mentor: Lily Weng)
A14-2 Improving Accessibility of Concept Bottleneck Layers for Scalable, Accurate, Interpretable Models
Gabriel Cha, Steven Luong (Mentor: Lily Weng)
A14-3 Faithful Concept Bottleneck Model
Henry Xu (Mentor: Lily Weng)
A14-4 Comprehensive Evaluation and Extension of Lag-Llama for Time Series Forecasting
Jiarui Zha (Mentor: Lily Weng)
A15-1 Balancing Accuracy and Efficiency: A Comparative Study of Knowledge Distillation and Post-Training Quantization Sequences
Daniel Gitelman, Jiangqi Wu, Vishwak Pabba, Zhiqing Wang(Mentor: Alex Cloninger, Rayan Saab)
A15-2 Label-Aware CNN Quantization using ImageNet
Ari Juljulian, Jessica Hung, Saathvik Dirisala, Yijun Luo (Mentor: Alex Cloninger, Rayan Saab)
A16-1 Knowledge Graph Compression Using Graph Transformers
Esther Cho, Penny King, Quentin Callahan (Mentors: Yusu Wang, Gal Mishne)
A16-2 Interpreting Graph Transformers for Long-Range Interactions
James Thai, Ryan Hung (Mentors: Yusu Wang, Gal Mishne)
A16-3 Neural Collapse on Graph Transformers
Bill Wang, Caleb Stam, Eduardo Spiegel (Mentors: Yusu Wang, Gal Mishne)
A16-4 Evaluating Graph Transformers for Scalable Social Media Recommendations
Aleck Wu, David An (Mentors: Yusu Wang, Gal Mishne)
A17-1 Enhancing Efficiency and Robustness in Semantic Smoothing: An Algorithmic Approach to LLM Defense
Arman Rahman, Dante Testini, Donald Taggart, Shreya Sudan (Mentors: Barna Saha, Arya Mazumdar)
Block 2 (1-2:30PM)
🗣️ Language Models
B01-1 GenAI for Good
Calvin Nguyen, Samantha Lin (Mentor: Ali Arsanjani)
B01-2 Methodologies for Ranking/Grading Misinformation and Disinformation Detection Veracity Machine and Mitigation Strategies
David Sun, Eric Gu, Eric Sun (Mentor: Ali Arsanjani)
B01-3 Disinformation Detection RAG Chatbot
Jade Zhou, Luran Zhang, Yiheng Yuan (Mentor: Ali Arsanjani)
B02-1 Rethinking Creditworthiness
Hillary Chang, Jevan Chahal, Kevin Wong, Kurumi Kaneko (Mentor: Brian Duke, Kyle Nero, Berk Ustun)
B02-2 Predicting Loan Default Probability Using Transaction Data
Brandon Dioneda, Mert Ozer, Qianjin Zhou (Mentor: Brian Duke, Kyle Nero, Berk Ustun)
B02-3 Building Better Credit Scores: Machine Learning and NLP for Optimized Risk Assessment
Aman Kar, Daniel Mathew, Tracy Pham (Mentor: Brian Duke, Kyle Nero, Berk Ustun)
B03-1 Advanced Detection for Jailbreak Attacks on LLMs
Quinn Brant, Nathan Ko, Kelo Komesu, Andrew Schmitz, Jeffrey Meredith (Mentors: Barna Saha and Arya Mazumdar)
B04-1 Advancing Humanlike Interactions in AI Systems
Xuecheng Xu, Yihong Li, Yuxuan Zhang (Mentor: Hao Zhang)
B04-2 Investigation on Improving Multi-agent LLM System Communication
Feiyang Jiang, Kristina Wu, Nick Jumaoas (Mentor: Hao Zhang)
B05-1 LLMaps
Jessica Zhang, Luke Lin, Matteo Perona, Yi Zhang (Mentor: Jingbo Shang)
B06-1 Leveraging Multi-Modal LLM-Agents for Web Task Automation
Aaryan Agrawal, Samuel Zhang, So Hirota (Mentor: Zhiting Hu)
B06-2 Test-Time Scaling of Multi-Modal Reasoning
Nathanial Rosario, Trevan Nguyen, Zihan Liu (Mentor: Zhiting Hu)
B07-1 Digital Bouncers —
Secure Smart Home Solution with Large Language Models
Daniel Li, Phu Dang, Eric Chen, Bofu Zou (Mentors:
Nimu Sidhu, Abed El-Husseini, Somayeh Koohbor)
B07-2 UCSD Mental HealthBot
Ana Truong, Junyue Lin, Housheng Hai, Serena Xie (Mentors:
Nimu Sidhu, Abed El-Husseini, Somayeh Koohbor)
B08-1 Comparing Chronos-Bolt
and ARIMA Models for Portfolio Optimization in the S&P 500
Information Technology
Andrew Zhao, Kelly Gong, Yuhe Tian (Mentors: Sheffield Nolan)
B08-2 Utilizing News in the Stock Market
Nicole Reardon, Manat Rao, Akash Juwadi (Mentor: Sheffield Nolan)
⚙️ Applied Data Science
B09-1 Demystifying Privacy:
Building Tools for Clear and Accessible Data Security Practices
David Yonemura, Edward New, Adalina Ma (Mentor: Haojian Jin)
B09-2 Web based privacy data
flow design space
Max Yuen Sum Wong, Chris Wong, Zichen Yu (Mentor: Haojian Jin)
B10-1 Finding Ghost Particles - Regression Model
Ammie Xie, Haotian Zhu (Mentor: Adobo Li)
B10-2 Majorana Neutrino Hunt - Classification Model
Jun Hwang, Ketki Chakradeo, Marco Sanchez, Ryan Doh (Mentor: Adobo Li)
B11-1 Data Driven Passivator Optimization for Perovskite Solar Cells
Daniel Park, Jill Luna Nomura, Kang Gun Ham, Nicolas Colebank (Mentor: David Fenning)
B12-1 Congestion Prediction in Chip Design with Walks and Paritioning
David Moon, Jiesen Zhang, Oren Kaplan, Walter Wong (Mentor: Lindsey Kostas)
B12-2 Chip Design and Graph Representation
Neil Damle, Pranav Rebala, Sahith Cherumandanda, Wai Siu Lai (Mentor: Lindsey Kostas)
B12-3 De-HNN Optimization: Reducing Runtime for Scalable Graph Processing
Han Hoang, Joshua Li (Mentor: Lindsey Kostas)
B13-1 Characterizing Natural
Disasters in High-Risk Regions Using Climate Model Emulators
Ylesia Wu, Zoe Ludena, Eric Pham (Mentor: Duncan Watson-Parris)
B13-2 Projecting Climate
Livability based on ESM Emulation
Qilong Zou, Gina Roberg, Nilay Menon, Charles Wang
(Mentor: Duncan Watson-Parris)
B14-1 Computer Vision-Based
Inspection for SDG&E Aviation Services
William Kam, Bharath Sathappan, Gregory Quach (Mentors:
Kasra Mohammadi, Robert D. Flamenbaum, Phi Nguyen)
B14-2 ILLNESS, An Alternative
Way To Assess Wildfire Risk
Gloria Kao, Shentong Li, Neil Sharma (Mentors:
Kasra Mohammadi, Robert D. Flamenbaum, Phi Nguyen)
B14-3 Identifying Grid Areas With Wind Speed Discrepancies Through
Time-Series Analysis and Optimizing VRI Polygon Boundaries
Steven Sahar, Kenneth Hidayat (Mentors:
Kasra Mohammadi, Robert D. Flamenbaum, Phi Nguyen)
B15-1 Fault Logging and
Assessment for Responsive EV Station repairs (FLARES)
Irving Zhao, Ethan Deng, Jason Gu, Daniel Kong
(Mentors: Ari Gaffen, James McCloskey, Phi Nguyen)
B15-2 Optimizing Electric
Vehicle Charging Station Placement: A Data-Driven Approach
Vanessa Hu, Xianzhe Guo, Eric Stratford, Mianchen Zhang
(Mentors: Ari Gaffen, James McCloskey, Phi Nguyen)
B16-1
DataMatch
Aditya Melkote, Maxwell Fang, Yanhao Guo, and Zixin Wei (Mentor: Sheffield Nolan)
B16-2
Decentralized Data and Data Analysis Marketplace
George Chong, Joey Kaminsky, Lincoln Ma, and Su Aye (Mentor: Sheffield Nolan)
B17-1 PropChain: A Blockchain Based Framework for Automated Real Estate Transactions
Dhruv Kanetkar, Ish Patel, Raghava Bandla (Mentor: Rajesh Gupta)
B18-1 Hardware Accelerators for ML Models
Kai Breese, Lukas Fullner, Justin Chou, Katylen Abille (Mentor: Rajesh Gupta)