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Outdated Posts about AWS on StackOverflow Huimin Jiang, Chenlu Jia, Ying Du, Jiaqi Tang, Jianing Li Mentors: Tapodipta Ghosh, Marvin Dong, Sining Chen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