Before graduation, all of Columbia’s M.S. in data science students divide into teams and use advanced artificial intelligence and machine learning techniques to tackle challenges suggested by the Data Science Institute’s industry affiliates. The companies provide mentors and the students learn additional statistical, computational, and engineering techniques from Columbia faculty.

Fall 2020 capstone participants worked online due to the coronavirus pandemic. Each team gave virtual presentations of their projects and findings for their industry mentors, instructor, and classmates on December 11.

Fall 2020 Topics and Teams

Reconstruction of Coordination Ellipsis from Clinical Trial Eligibility Criteria Text
Haibo Yu, Zijian Wang, Yaotian Dai, Tianyao Han, and Jianqiong Zhan
Mentors: Chunhua Weng, Hao Liu

COVID-19 Randomized Controlled Trial (RCT) Summarization
Amanda Steigman, Han Xu, Lin Jiang, Swapnav Deka, Suman Tripathy
Mentors: Chunhua Weng, Tian Kang

The Power of Peace Speech
Jinwoo Jung, Hyuk Joon Kwon, Hojin Lee, Tae Yoon Lim, Matt Mackenzie
Mentors: Peter Thomas Coleman, Allegra Chen-Carrel

Measuring Startup Strategy and Its Evolution
Team 1: Wen Fan, Zhiyi Guo, Yujie Wang, Fan Wu, Xu Xu
Team 2: Derek Chen, Wangzhi Li, Bernardo Lopez Vicencio, Yinhe Lu, Alberto Munguia Cisneros
Mentor: Jorge Guzman

Outdated Posts about AWS on StackOverflow
Huimin Jiang, Chenlu Jia, Ying Du, Jiaqi Tang, Jianing Li
Mentors: Tapodipta Ghosh, Marvin Dong, Sining Chen

Exploring Thematic Fit in Language with Neural Models
Anjani Prasad Atluri, Samrat Halder, Mughilan Muthupari, Priyadharshini Rajbabu, Jake Stamell
Mentors: Yuval Marton, Asad Sayeed, Smaranda Muresan

Improving Automatic Event Understanding through Sequential and Non-Sequential Deep Learning Architectures
Timothy Hao Huang, Jay Zern Ng, Yuki Nishimura, Jonathan Irvin Santoso, Kevin Christian Wibisono
Mentors: Yuval Marton, Asad Sayeed, Smaranda Muresan

Predicting Forward Citations for Patents
Akshay Pakhle, Harguna Sood, Siddhant Shandilya, Siddhanth Vinay, Swarna Bharathi Mantena
Mentors: Eric Kang, Kriste Krstovski

Auto-Annotation of Pathology Images
Chao Huang, Yihao Li, Yufeng Ma, Shuo Yang, Xiaoyun Zhu
Mentors: Adler Perotte, Shana Coley, Adam Kelleher

Deep Learning Models for Detecting Amyloid
Alex Wan, Han Wang, Junyang Jiang, Shengqing Xia, Yuge Shen
Mentors: Adler Perotte, Pierre Elias

Automatic Photodamage Assessment from Facial Images
Mingrui Liu, Shuyu Huang, Woo Jin Kim, Yuheng Shi, Yunjun Xia
Mentors: Robert Velthuizen, Adam Kelleher

Betta Fish Evolutionary Morphology
Shijie He, CongCheng Yan, Chutian Chen, Chengchao Jin, Wancheng Chen
Mentor: Andres Bendesky

Detecting Mosaic Mutations with Deep Learning
Mingfang Chang, Karan Rao, Yadin Rozov
Mentor: Yufeng Shen

Novel Brain Cell Types
Jasmine Bao, Jing You, Mutian Wang, Yingnan Wu
Mentors: Vilas Menon, Adam Kelleher

Active Learning for Computer Vision
Yichi Zhang, Aiden Zhang, Huayun Xu, Xinyuan He, Zelin Li
Mentors: Raghav Saboo, Junghoon Woo, Adam Kelleher

Energy Efficient ML on Edge (Pre-Processing)
Ji In Choi, Madeleine Georges, Julia Shin, Olivia Wang, Tiffany Zhu
Mentor: Tapan Shah

Energy Efficient AI on Edge
Kumari Nishu, Pritam Biswas, Neelam Patodia, Mohit Chander Gulla, Prasham Dhaneshbhai Sheth
Mentors: Tapan Shah, Eleni Drinea

Use Neural Structured Learning for Beaconing Detection
Hanjun Li, Boyu Liu, Yitao Liu, Yiyang Sun, Banruo Xie
Mentors: Yiwen Zhang, Emma Pan, Suman Jana

Identifying Trading Opportunities Using Unsupervised Learning
Hritik Jain, Romane Goldmuntz, Amaury Sudrie, Vy Tran, Kassie Papasotiriou, Maxime Tchibozo
Mentors: Naftali Cohen, Zhen Zeng, Srijan Sood

Reinforcement Learning for Trading
Mariem Ayadi, Shreyas S. Jadhav, Benjamin W. Livingston, Amogh Mishra, Kevin Womack
Mentors: Naftali Cohen, Srijan Sood, Zhen Zeng, Adam Kelleher

Reinforcement Learning for Taxi Driver Repositioning Problem in NYC
Tian Wang, Yingyu Cao, Bo Jumrustanasan, Tianyi Wang, Xue Xia
Mentors: Tony Qin, Tracy Li, Vineet Goyal

Sensor-Based Repackaged Android App Detection
Jianfeng Zhuang, Huazhang Liu, Chengyou Ju, Shaofeng Wu, Weitao Chen
Mentors: Gail Kaiser, Shirish Singh

Sensor-Based Repackaged Malware Detection
Boyu Liu, Duanyue Yun, Huiyu Song, Xin Guo, Xiao Ji
Mentors: Shirish Singh, Gail Kaiser

Predicting COVID-19 Outbreaks Using Social Media Images
Ashutosh Kanitkar, Chris Russo, Gideon Teitel, Luke Beasley, Shahen Mirzoyan
Mentors: Marianthi-Anna Kioumourtzoglou, Carl Vondrick

Automated Model Reduction for Atmospheric Chemical Mechanisms
Lingrui Luo, Zihe Wang, Zijing Wang, Di Ye, Qiaoge Zhu
Mentors: Faye McNeil, Siddhartha Sen

AutoML Prediction Machine of Adverse Outcomes Following Hip Fracture Surgery
Mike Wang, Zining Fan, Qiang Zhao, Siyuan Wang
Mentors: Cindy Tong, Rhea Jang, Chin-Wen Chang, David Knowles

Predict Patients with Missing HS Diagnosis
Arusha Kelkar, Tanvi Pareek, Karthik Rajaraman Iyer, Kanak Singh, Manas Dresswala
Mentors: Lynn Petukhova, Austin Bell

Returns Propensity Prediction for Online Orders
Mrugank Akarte, Kanika Aggarwal, Priyanka Lahoti, Sachit Kumar, Hima Bindu Bhardwaj
Mentors: Sining Chen, Rohit Cherian, Nandakumar Sudha, Benjamin Raibaud, Landon He, Danielle Zuckerman, Michael O’Reilly

Predicting the Thermodynamic Stability of Perovskite Oxides
Weixi Yao, Seung-Jae Bang, William Yu, Jiaying, Chen, Yiming Huang, Caroline Rutherford
Mentor: Simon Billinge

Detecting Market Manipulation in Small Cap Equities
Zhihao Ai, Tolulope Bukola, Yang Liu, Zhi Qi, Bowen Zhou
Mentors: Ali Hirsaa, Michael Threlfall, Yash Madane, Max Voelker

Clustering Analysis of Investors and Trending Topic Detection
Rui Bai, Xinyi Liu, Yichi Liu, Yuchen Pei, Yujing Song
Mentors: Adam Kelleher, Flora Huang, Shadi Fadaee, Stephen Lawrence