2023 HDSI Capstone Showcase

This year, we have 66 project groups spread across a variety of topics. The showcase is divided into two blocks based on topic; feel free to stop by either block for as long or as little as you'd like. The showcase will operate as a poster session, where you can approach the projects that interest you and ask their teams questions.

Table of Contents

Block 1 (11AM-12:30PM):

• Finance and Blockchain 💰
• Graphs and Deep Learning 📈
• Medicine and Bioinformatics 💊

Block 2 (1-2:30PM):

• Fairness and Causal Inference 🤝
• NLP, Sentiment Analysis, and Social Media 🗣
• Other Applications ⚙️

Block 1 (11AM-12:30PM)

Finance and Blockchain 💰

Escryptow: Design and Implementation of an E-commerce Dapp

Group A02-1: William Li, Antoni Liria-Sala, Huy Trinh, Guangyu Yang (Mentor: Franklin Templeton: Sheffield Nolan)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

BlockBazaar - Smart Contracts for Decentralized E-Commerce

Group A02-2: Matin Ghaffari, Yu Huang, Alan Amirian, Wenyuan Chen (Mentor: Franklin Templeton: Sheffield Nolan)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Fine-tuned Transformers For Financial Sentiment Analysis

Group B04-1: Xing Hong, Carlos van der Ley, Cain Chen, Dylan Newman (Mentor: Zhiting Hu)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Stock Market Prediction

Group B04-2: Nathan Ng, Richard Tang, Gao Mo (Mentor: Zhiting Hu)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Servicechain.io

Group B10-1: Vineet Tallavajhala, Ananya Chandorkar, John Mauricio, Kristina Shahatit (Mentor: Rajesh Gupta)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Graphs and Deep Learning 📈

Reddit Interaction Graph-based Community Recommendations

Group A04-1: Scott Sutherland, Pravar Bhandari, Ryan Don, Felicia Chan (Mentors: TigerGraph: Jonathan Herke, Jay Yu, Andrew Wei; UCSD: Biwei Huang)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Graph-Based Deep Learning for Fraud Detection in ETH Transaction Networks

Group A04-2: Ethan Zhou, Stephen Gelinas, Kazuma Yamamoto (Mentors: TigerGraph: Jonathan Herke, Jay Yu, Andrew Wei; UCSD: Biwei Huang)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Personalized Recipe Recommendation Using Heterogeneous Graphs

Group A04-3: Nicholas Degroot (Mentors: TigerGraph: Jonathan Herke, Jay Yu, Andrew Wei; UCSD: Biwei Huang)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Counting and Sampling Triangular Patterns to Perform Optimal Spectral Clustering on Higher-Order Networks

Group A09-1: Karthikeya Manchala, Jonathan Li, Dylan Lee, Matthew Wilson (Mentor: Barna Saha)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Graph-HSCN: Heterogenized Spectral Cluster Network for Long-Range Representation Learning

Group A11-1: Zhishang Luo, Camille Dunning, Sirui Tao (Mentor: Yusu Wang)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Exploring Techniques for Addressing Long-Range Interactions in GNN

Group A11-2: Brandon Liu, Yichi Zhang (Mentor: Yusu Wang)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Adversarial Attacks via Latent Space Perturbations

Group A13-1: Winston Yu, Barry Xue, Jianming Geng (Mentor: Gal Mishne)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Performance Evaluation of Community Detection on Neural Networks

Group A15-1: Yaoxin Li, Vivek Rayalu, Justin Nguyen (Mentor: Arya Mazumdar)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Community Detection on Twitter

Group A15-2: Freddy Wang, Ari Stassinopoulos, Marwan Kudsi (Mentor: Arya Mazumdar)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Community Detection of Music Genres Using Spotify Playlists

Group A15-3: Junjie Li, Brandon Tran, Olivia Hunt, Andrew Mokhtarzadeh (Mentor: Arya Mazumdar)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Efficient Few Shot Learning for Vision-Language Models on Complex Datasets

Group B07-1: Wenbo Hu, Johnny Liu (Mentor: Lily Weng)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Improve Accuracy via Net-Dissection

Group B07-2: Kent Utama, Gauri Samith, Taehyung Kim (Mentor: Lily Weng)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Your Neural Network is Secretly a Kernel Machine

Group B15-1: Rohit Mishra, William Luu, Arunav Gupta, Mehdi Bouassami (Mentor: Mikhail Belkin)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Medicine and Bioinformatics 💊

BRAINIARB: Behavioral Reconstruction And Insight via Neuroethological Imitation And Realistic Bodies

Group A08-1: Daniel Son, Adam Lee, Scott Yang, Akshay Murali (Mentor: Talmo Pereira)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Performance of Biomarkers for CNN Training: A Comparison of Results

Group A14-1: Jacob Ryan (Mentor: Albert Hsiao)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Predicting Pulmonary Edema Using Convolutional Neural Networks and Lung Image Segmentation

Group A14-2: Yash Potdar, David Davila-Garcia, Marco Morocho (Mentor: Albert Hsiao)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Simultaneously detecting Pulmonary Edema and Pleural Effusion using a multi-label CNN classifier

Group A14-3: Shiv Sakthivel (Mentor: Albert Hsiao)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Comparing Segmentation, Classification, and Cascade Convolutional Neural Networks for Pneumothorax Prediction

Group A14-4: Cecilia Liu, Angela Wang (Mentor: Albert Hsiao)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Using Latent Variable Models to Predict Mouse Behavior

Group A16-1: Saket Arora, Aryan Singh, Rishabh Viswanathan, Jad Makki (Mentor: Mikio Aoi)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Comparing the Effects of Increased Sequencing Coverage on Analyses of Human Genetic Variation

Group A17-1: Karthik Guruvayurappan, Andrew Li, Michael Nodini, Madeline Lascola-Hutcherson (Mentor: Tiffany Amariuta)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Application of Transcriptome-Wide Association Studies to Identifying Genes Associated with Inflammatory Bowel Disease

Group A17-2: Jacqueline Lee, Esha Desai, Moksha Poladi, Samuel Zhou (Mentor: Tiffany Amariuta)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Longitudinal integrative graphical medical application

Group B01-1: Nicole Brye, Rohith Pillai, Anjana Sriram, Aven Huang (Mentor: Benjamin Smarr)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Longitudinal integrative graphical medical application

Group B01-2: Kenneth Nguyen, Kamen Redfield, Qiaoxuan Wang (Mentor: Benjamin Smarr)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Brain Region Activation From Sports Viewing

Group B09-3: Brad Powell, Jeremy Nurding (Mentor: Armin Schwartzman)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Evaluating Fungal Feature Importance in Predicting Life Expectancy for Cancer Patients

Group B18-1: Ethan Chan, Mark Zheng, Benjamin Sacks (Mentor: Rob Knight)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Multi-label Disease Prediction Based on Gut Microbiome

Group B18-2: Emerson Chao, Amando Jimenez, Renaldy Herlim (Mentor: Rob Knight)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Modeling and Simulation of Aerosol Flow in a Classroom Environment with Mobile Sensors

Group B20-1: Yidan Wang, Tony Qian, Zixin Ma (Mentor: Tauhidur Rahman)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Accelerating Spatiotemporal Neural Process Simulator with Deep Reinforcement Learning

Group B25-1: Zhenjian Wang, Gabriel Fara-On, Brian Wang (Mentors: Yian Ma, Rose Yu)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Optimizing DeepGLEAM Model for Flu Prediction

Group B25-2: Rhee Kang, Xiangyi Kong, Justin Phen (Mentors: Yian Ma, Rose Yu)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Active Learning with Neural Processes for Epidemiology Modeling

Group B25-4: Amogh Patankar (Mentors: Yian Ma, Rose Yu)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Block 2 (1-2:30PM)

Fairness and Causal Inference 🤝

Investigating Occupational Gender Bias In DALL-E 2

Group A05-1: James Dai, Costin Smilovici, Tyler Tran, Jun Oh, Vedan Desai (Mentors: Deloitte: Rasmus Nielsen, Jeffry Liu, Nandita Rahman, Aritra Nath, Emma Harvey, Meira Gilbert; UCSD: David Danks)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

An Investigation on Mitigating Airline Pricing Model's Bias

Group A05-2: Garrick Su, Maricela Vasquez, Qixi Huang, Joseph Perez, Edwin Tse (Mentors: Deloitte: Rasmus Nielsen, Jeffry Liu, Nandita Rahman, Aritra Nath, Emma Harvey, Meira Gilbert; UCSD: David Danks)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Tree-based method towards the Estimation of the Conditional Average Treatment Effect of Education on Earning

Group B06-1: Xue Wang, Wenqian Zhao, Huaning Liu, Noah Simpson (Mentor: Jelena Bradic)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Analysis on the Effect of Missingness on Fairness Notions

Group B12-1: Yuri Bukhradze, Alec Panattoni, Gyuwan Kim, Matthew Yom (Mentor: Babak Salimi)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Trustworthy Recommender Systems via Bayesian Bandits

Group B17-1: Vivek Saravanan, Eric Song, Hien Bui, Xiqiang Liu (Mentor: Yuhua Zhu)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

NLP, Sentiment Analysis, and Social Media 🗣

Sentiment Analysis of Gun Control Using Twitter Data

Group A03-1: Tej Patel, Abhishek Nisha-Anish, Brandon Vinhnee (Mentors: DataStax: Jonathan Shook, Derrick Cosmas; UCSD: Justin Eldridge)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Predicting Financial Markets with Wisdom of the Crowd

Group A03-2: Dakshh Saraf, Justin Cun (Mentors: DataStax: Jonathan Shook, Derrick Cosmas; UCSD: Justin Eldridge)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Effect of Spam Detection Models on Real-time Tweet Sentiment

Group A03-3: Tyson Tran, Yi Li, Lucas Lee (Mentors: DataStax: Jonathan Shook, Derrick Cosmas; UCSD: Justin Eldridge)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Rethinking Credit Scores: Ensuring Fair Lending through NLP for Transaction Categorization

Group A06-1: Koosha Jadbabaei, Shawn Pan, Nathan Van Lingen, Kyle Nero (Mentor: Petal: Brian Duke; UCSD: Berk Ustun)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Using Natural Language Processing to Predict Categories of Transactions

Group A06-2: Sruti Bandaru, Kevin Wong, Jerry Luo, Sammer Alomair (Mentor: Petal: Brian Duke; UCSD: Berk Ustun)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Auditing race inequality based on gender in data science related job market

Group A10-1: Nancy Jiang, Sahil Wadhwa (Mentor: Stuart Geiger)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

CryptoWho: Auditing YouTube Investment Recommendations using GPT-3

Group A10-2: Lily Yu, Brian Huang (Mentor: Stuart Geiger)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Analyzing Tweets from U.S. Congresspeople with GPT-3

Group A12-1: Gokul Prasad, Annie Fan (Mentor: Molly Roberts)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Active Learning in Natural Language Processing

Group A12-2: Xiaotong Zeng, Yunyi Huang (Mentor: Molly Roberts)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Incomplete Supervision: Text Classification based on a Subset of Labels

Group B14-1: Luning Yang, Yacun Wang (Mentor: Jingbo Shang)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Reverse Dictionary with Video Game Characters

Group B14-2: Kaitlyn Chan (Mentor: Jingbo Shang)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Weakly Supervised Spam-Label Classification

Group B14-3: Garrett Birch, Ke Xu, Zairan Xiang (Mentor: Jingbo Shang)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Other Applications ⚙️

Improving App Launch Time with Deep Learning

Group A01-1: Alan Zhang, Mandy Lee, Yikai Mao (Mentors: Intel: Jamel Tayeb, Bijan Arbab; UCSD: Teresa Rexin)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Solutions of Foreground Window Recommendations

Group A01-2: Langrun Zhu, Zeming Zhang (Mentors: Intel: Jamel Tayeb, Bijan Arbab; UCSD: Teresa Rexin)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Discover User-App Interactions and Solutions to Reducing the Initial User-CPU Latency

Group A01-3: Thy Nguyen, Ezhil Thaenraj, Milon Chakkalakal (Mentors: Intel: Jamel Tayeb, Bijan Arbab; UCSD: Teresa Rexin)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Flock Freight Offer Acceptance

Group A07-1: Nima Yazdani, Keagan Benson, Benson Duong, Radu Manea (Mentor: Flock Freight: Matt Stirling; UCSD: Soohyun Liao)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Developing Optimal Stopping Alogirthm for Freight Auction Platform

Group A07-2: Tae Kun Kim, Joyce Yan, Giho Kim (Mentor: Flock Freight: Matt Stirling; UCSD: Soohyun Liao)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Energy Cost and HVAC Optimization in Smart Buildings

Group B08-1: Alise Bruevich, William Nathan, Esperanza Rozas, Jonah Bomwell (Mentor: Rajesh Gupta)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Spatiotemporal Changes in Lake Oroville

Group B09-1: Samuel Aguirre, James Lu (Mentor: Armin Schwartzman)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Maritime Ship Detection in Satellite Imagery

Group B09-2: Sean Ng, Alex Makhratchev (Mentor: Armin Schwartzman)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Graph Database Solutions for Perovskite Solar Cell Manufacturing

Group B13-1: Justin Chu, Ryan Vo, Lauren Sidarto, Long Le (Mentor: David Fenning)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Decentralized Location Consensus Through Proximity Tracing

Group B16-1: Alex Guan, Mason Chan, Alan Miyazaki, Nathan Ahmann (Mentor: Haojian Jin)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Decentralized Location Consensus Through Proximity Tracing

Group B16-2: Andrew Canonigo, Frans Timothy Juacalla, Aryaman Sinha, Martin Thai (Mentor: Haojian Jin)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Unsupervised Domain Adaptation on Satellite Images to Assess Poverty

Group B319-1: Luke Lloyd, Priyanka Nagasamudra (Mentors: Alex Cloninger, Yoav Freund)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

Build CNN model for animal recognition

Group B319-2: Xuzhe Zhi, Guanlin Qian, Zhipeng Chen (Mentors: Alex Cloninger, Yoav Freund)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code

DOTA2 Match Winning Rate Prediction

Group B319-3: Junlin Wu, Niehao Chen, Irene Jiang (Mentors: Alex Cloninger, Yoav Freund)
🪧 Poster • 🌐 Website • 📖 Report • 💻 Code