Fall 2022 Capstone Presentations

Monday, December 5, 2022
9:00 am - 12:00 pm

Join the Fall 2022 Capstone presentation event to explore new research projects from M.S. in Data Science students.

The Capstone course provides a unique opportunity for students in the M.S. in Data Science program to apply their knowledge of the foundations, theory and methods of data science to address data driven problems in industry, government and the non-profit sector.

Course activities focus on a semester-length project sponsored by a local organization. The resulting projects synthesize the statistical, computational, engineering and social challenges involved in solving complex real-world problems.

The Fall 2022 Capstone course reflects enormous interest in data science, with 43 teams exhibiting at the presentation event. Join to explore the projects and meet with the participating students and mentors. Find project themes and companies below.

Event Date & Time

Tuesday, December 5 (2:00 PM – 5:00 PM ET) – IN-PERSON ONLY

Location: Pulitzer Hall, Columbia Graduate School of Journalism (Joseph D. Jamail Lecture Hall) 2950 Broadway New York, NY 10027

Agenda

2:00 PM: Join the event. Poster Presentations will be on view until 5:00 PM ET; guests are welcome to float in and out of the event to speak with the students and learn about their projects.

Research will be organized into several categories:

Natural Language Processing (NLP)
Geospatial, Time Series
General Machine Learning (ML)
Computer Vision, Deep Learning

Food and beverages will be served throughout the event!

2:30 PM: Introductions from Capstone faculty. Learn more about the Capstone program and its impact across the Data Science Institute and Columbia University at large.

5:00 PM: Event ends.

List of Exhibiting Projects

Floor Plan

Natural Language Processing (NLP)

P01: Entity Resolution and Data Analysis of Author Contribution Statements

Elsevier
Mentor: Anita de Waard
Faculty: Adam Kelleher
Students: Chuyang Xiao, Jingwen Bai, Chenxi Jiang, Yunxiao Wang, Xinyu Huang

P02: Identification of Replication “Citances”

Elsevier
Mentor: Anita de Waard
Faculty: Adam Kelleher
Students: Tengteng Tao, Zhengyi Fang, Candong Chen, Wenbo Zhao, Jinyu Wang

P03: Regulatory Requirements and Policy Standards and (Large-Language-Model) Benchmarking

Johnson & Johnson
Mentor: Michael Wiederspiel
Faculty: Adam Kelleher
Students: Daoxing Zhang, Yihao Gao, Siwen Xie, Siqi He, Vishu Tyagi

P04: Peace Speech Project

Earth Institute | Lamont-Doherty Earth Observatory
Mentor: Peter Coleman
Faculty: Vivian Zhang
Students: Hongou Liu, Yuwen Zhang, Yibo Chen, Pinyi Yang, Xinfu Su, Ziheng Ru

P05: Knowledge Graph on Unstructured Data using Unsupervised Approach for Finance Domain with Natural Language Search Enablement

Accenture
Mentor: Satish Banka
Faculty: Sining Chen
Students: Arnav Saxena, Ridwan Olawin, Elin Kim, Shashwat Singh, Alex Kita

P06: Detection of Trust in Call Center Interactions

Accenture
Mentor: Ivan Wong
Faculty: Sining Chen
Students: Anbang Wang, Binghong Yu, Huaizhi Ge, Keyi Guo, Huanyu Jiang

P07: Hierarchical Topic Modeling over Financial Documents

JP Morgan & Chase
Mentor: Simerjot Kaur
Faculty: Sining Chen
Students: Xinyu Wang, Yunchen Yao, Abel Perez-Vargas, Gilberto Garcia Perez, Pablo Ulises Hernandez Garces, Nicolo Ricca

P08: Supervised Learning Methods for Natural Language Processing

JP Morgan & Chase
Mentor: Akshat Gupta
Faculty: Sining Chen
Students: Zhirui Yang, Zonghan Yue, Zheng Wu, Qiran Li, Xianmeng Wang, Chenqi Wang

P09: Fine-Tuned Relationship Extraction for Consumer Goods Concepts (1)

Unilever
Mentor: John Labarga
Faculty: Sining Chen
Students: Wenxin Zhang, Wei Luo, Xingyu Lu, Jiazhen Li, Yinghao Li

P10: Fine-Tuned Relationship Extraction for Consumer Goods Concepts (2)

Unilever
Mentor: John Labarga
Faculty: Sining Chen
Students: Zhiqing Yang, Zhifeng Zhang, Zhucheng Zhan, Jessie Wang, Ruilin Liu

Geospatial, Time Series

P11: A Data-Driven Analysis of Socio-Economic Factors that impact Enrolment in Clinical Trials

Johnson & Johnson
Mentor: Lars Hulstaert
Faculty: Adam Kelleher
Students: Yunhan Jin, Sandy Chen, Yixuan Liu, Xingyu Wei, Zeyu Jin

P12: Prediction of Commercial Insurance Payments for Surgical Procedure using Machine Learning

Johnson & Johnson
Mentor: Cindy Tong
Faculty: Adam Kelleher
Students: Mahesh Jindal, Rahulraj Singh, Ayush Baral, Parth Gupta, Prerit Jain

P13: Prediction of Commercial Insurance Payments for Surgical Procedure using DataRobot

Johnson & Johnson
Mentor: Cindy Tong
Faculty: Adam Kelleher
Students: Sarthak Arora, Parv Joshi, Shruti Kaushal, Ryan Joseph Rogers, Tyler Marshall

P14: Placement Optimization of EV Chargers in the US

KPMG
Mentor: Chengwei Wang
Faculty: Adam Kelleher
Students: Yue Zhang, Anne Lin, Mengchen Xu, Clarissa Ruo-Ju Tai, Yu-Chieh Chen

P15: Price Optimization in Pharma through Discount Allocation via Machine Learning

Novartis
Mentor: Laura Sanchez Garcia
Faculty: Adam Kelleher
Students: Victoria Edwards, Soham Joshi, Srividya Inampudi, Vedant Rajeev Kumar, Sai Krupa Jangala
Time Series

P16: Extending Satellite Observations to Ocean Depths with Machine Learning

Earth Institute | Lamont-Doherty Earth Observatory
Mentor: Nicholas Bock
Faculty: Vivian Zhang
Students: Elijah Flomen, Gabrielle Nyirjesy, Blake David Hartung, Yo Xing Jeremijenko-Conley, Erin Josephine Donnelly

P17: Measurements on Greenland Surface Mass Loss with Predictions on Albedo via Machine Learning

Earth Institute | Lamont-Doherty Earth Observatory
Mentor: Marco Tedesco
Faculty: Vivian Zhang
Students: Jiawen Zhou, Ke Li, Mingyue Xu, Meggie Wen, Yuezhu Xu, Kailande Cassamajor

P18: Are Government Broadband Internet Subsidies a Waste of Money?

School of Engineering and Applied Science
Mentor: Henning Schulzrinne
Faculty: Vivian Zhang
Students: Zheyu Shen, Sitong Qian, Yifan Jiang, Yihan Wang, Shengyuan Cao, Shiyu Wang

P19: Evaluating the Attractiveness of a Country for Business Investment using World Bank Indicators

Accenture
Mentor: Paritosh Pramanik
Faculty: Sining Chen
Students: Freddy Wong, Yuan Heng, Hanlin Yan, Jace Yang, Di Mu

P20: Time Series Financial Forecasting

JP Morgan & Chase
Mentor: Simran Lamba
Faculty: Sining Chen
Students: Zhenyu Yuan, Kechengjie Zhu, Xuchen Wang, Yao Xiao, Zixiang Yin

P21: Improving the Sales Forecasting Process by Modeling the Lifecycle Events of a Drug

Novartis
Mentor: Eric Matamoros
Faculty: Sining Chen
Students: Senqi Zhang, Zehui Wu, Hang Xu, Yajie Zhang, Shuyue Xu

P22: Renewable Energy Growth Challenge

Accenture
Mentor: Bhushan Jagyasi
Faculty: Adam Kelleher
Students: Zhining Qiu, Yujia Xie, Weisheng Chen, Hongtao Jiang, Yunzhe Zhang

General Machine Learning (ML)

P23: Staying Ahead of Renewable Energy Curve, Analysis on Reusable Blades

NYC Matthews
Mentor: Terri Matthews
Faculty: Adam Kelleher
Students: Tracy Wang, Jiayuan Cui, Vipul Harashawaradhana Harihar, Sarosh Sopariwalla, Sharmi Mathur

P24: RalphLauren.com Website Search – Keyword optimization

Ralph Lauren
Mentor: Kanika Aggarwal
Faculty: Adam Kelleher
Students: Nitya Krishna Kumar, Anna Joen, Suvansh Dutta, Abhimanyu Swaroop, Ling Sun

P25: Patent Data and the Evolution of Location

Columbia Business School
Mentor: Jorge Guzman
Faculty: Vivian Zhang
Students: Shreya Verma, Arunit Maity, Mehrab Singh Gill, Sarthak Bhargava, Sanjeev Tewani, Malaika Gupta

P26: Galaxy-by-Galaxy Emulation of Cosmo-Hydrodynamical Simulations of Galaxy Formation

Graduate School of Arts & Sciences
Mentor: Shy Genel
Faculty: Vivian Zhang
Students: Junsheng Shi, Sicheng Li, Chen Jin, Wen Zhan, Shangzhi Liu

P27: MUTABLE

Graduate School of Arts & Sciences
Mentor: Yufeng Shen
Faculty: Vivian Zhang
Students: Yi Duan, Yiquan Li, Junyi Yao, Zhe Hou, Zining Chen

P28: Machine Learning in Rehabilitation Robotics

School of Engineering and Applied Science
Mentor: Sunil Agrawal
Faculty: Vivian Zhang
Students: Lea Esther, Yuren, Siyue, Tianhang, Yisi

P29: Fault Detection and Prognosis in Astronomical Observatory Operational Data in Chile

School of Engineering and Applied Science
Mentor: Vineet Goyal
Faculty: Vivian Zhang
Students: Jiang Zhu, Siqin Shen, Junhao Zhang, Yuning Ding, Yanyun Chen

P30: AI and Machine Learning Project Exploring the Clinical-Genomic Correlation of Cutaneous T-Cell Lymphoma (CTCL)

School of Engineering and Applied Science
Mentor: Itsik Pe’er
Faculty: Vivian Zhang
Students: Haoyang Shen, Lewis Wu, Sung Jun Won, George Bingham Reynolds, Adrian Garcia Hernandez

P31: Early Detection of Endometriosis from Electronic Health Record Data and Claims Data

Vagelos
Mentor: Noemie Elhadad
Faculty: Vivian Zhang
Students: Dani Masti

P32: Data Analysis of Single Cell RNA Sequencing for Neuropsychiatric Disorders

Vagelos
Mentor: Bin Xu
Faculty: Vivian Zhang
Students: Darvesh Gorhe, Katharina Fijan, Jeon Ju Hyun

P33: Accelerating Drug Discovery through Active Learning-Enhanced Virtual Screening

National Institutes of Health
Mentor: Pinyi Lu
Faculty: Sining Chen
Students: Shuqing Shan, Shanzhao Qiao, Yan Gong, Zixiang Tang, Siyu Li

Computer Vision, Deep Learning

P34: Automatic Landcover Change Detection and Classification from Satellite Images

JP Morgan & Chase
Mentor: Saba Rahimi
Faculty: Adam Kelleher
Students: Gangadhara Reddy Velagala, Vishwas Reddy Thuniki, Sai Prashanth Pathi, Nishi Amish Modi, Binny Naik
Computer Vision

P35: Land Cover Change Detection using Neural Network for Satellite Images

JP Morgan & Chase
Mentor: Saba Rahimi
Faculty: Adam Kelleher
Students: Ashkan Bozorgzad, Karveandhan Palanisamy, Hari Prasad Renganathan, Yuki Ikeda, Masataka Koga, Yewen Zhou
Computer Vision

P36: Capturing Pavement Markings using Machine Learning Algorithms

NYC Romano
Mentor: Maddalena Romano
Faculty: Adam Kelleher
Students: Moya Zhu, Megan Zhou, Ran Pan, Jingfei Fang, Zihao Zhang
Computer Vision

P37: Radiology Report Generation Using a Multi-Modal Prototype Network

Accenture
Mentor: Hemant Palivela
Faculty: Sining Chen
Students: Ayush Sinha, Amrutha Varshin Sundar, Navjot Singh, Vijay S Kalmath, Andrew Christopher Schaefer, Kiranmai Vasireddy
Deep Learning

P38: Improving Speech Transcription Accuracy by Decoding Audio with Language Model on Wav2Vec2.0 Framework

Accenture
Mentor: Bhushan Jagyasi
Faculty: Sining Chen
Students: Anh-Vu Nguyen, Sivan Ding, Maxwell Zhou, Alexandria Guo, Julia Wang Antonin Vidon
Deep Learning

P39: Using Remote-Sensing Data to Understand Characteristics of Vegetation, such as Species, Health, have several industry applications (1)

IBM
Mentor: Harini Srinivasan
Faculty: Sining Chen
Students: Yunze Pan, Ziyan Liu, Anshuo Wu, Shengdi Chen, Yunshu Cai
Computer Vision

P40: Using Remote-Sensing Data to Understand Characteristics of Vegetation, such as Species, Health, have several industry applications (2)

IBM
Mentor: Harini Srinivasan
Faculty: Sining Chen
Students: Zehua Zeng, Tianhao Wu, Juncheng Pan, Zezhong Fan, Yanbing Chen
Computer Vision

P41: One-Shot Learning for Face Recognition

JP Morgan & Chase
Mentor: Zhen Zeng; Kassiani Papasotiriou
Faculty: Sining Chen
Students: Pranav Gopal, Aniket Ashutosh Shahane, Vikram Singh, Jannik Jerrit Wiedenhaupt
Computer Vision

P42: Creating Multilingual Speech Emotion Recognition Systems JPMorgan (1)

JP Morgan & Chase
Mentor: Akshat Gupta
Faculty: Sining Chen
Students: Siddhant Pravin Mahurkar, Siddhant Rajeev Kumar, Angad Nandwani, Mridul Gupta, Eubin Park
Deep Learning

P43: Creating Multilingual Speech Emotion Recognition Systems JPMorgan (2)

JP Morgan & Chase
Mentor: Akshat Gupta
Faculty: Sining Chen
Students: Jingxiang Zhang, Yuxin Cui, Luwei Zhang, Shirley Gui, Ruoxi Liu, Wael Boukhobza
Deep Learning

Capstone Faculty

Sining Chen, Adjunct Professor of Industrial Engineering and Operations Research, Columbia University

Adam S. Kelleher, Adjunct Assistant Professor of Computer Science, Columbia University

Yuan (Vivian) Zhang, Department of Biostatistics, Columbia University

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