Data Science Poster Fair Archives
The Data Science Poster Fair is held annually in at the end of the fall and spring semester. As a part of their degree requirements, Data Science M.S. students conduct research under the direction of a faculty advisor culminating with a capstone project and poster presentation. Students presenting at this event will discuss details of their capstone project, including their driving question, methods, and results, and will be available to address questions and connect with guests during their time slot. Faculty from numerous departments across the University are affiliated with the data science graduate program, therefore a variety of areas are represented with each student’s capstone project.
Poster fairs are generally open to the public and all interested undergraduate and graduate students, alumni, staff, faculty, and industry professionals are encouraged to attend. During the pandemic, the poster fair was hosted virtually.
Some of the more recent poster fair entries and winners are detailed below. Additionally, check out this list of all previously presented posters.
Poster Fair Entries and Winners
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Spring 2023
The Spring 2023 Data Science Poster Fair featured 21 posters. There was no best poster or people's choice award at the event. All submitted posters are detailed below.
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John Carruth |
Mohammed Guiga |
Mark Jokinen |
Navanshu Khare |
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Anisha Khetan |
Shashank Magdi |
Kelsey Neis |
Minh Nguyen Advisor: Jie Ding, School of Statistics Capstone: Photovoltaic Electricity Generation Forecasting |
| Noah Rissman Advisor: Erich Kummerfeld, Institute for Health Informatics Capstone: The Impact of Free and Reduced Lunch Programs on BIPOC Education Disparities in the Hopkins School District |
Nan Wang Advisor: Rui Zhang, Institute for Health Informatics Capstone: Extracting SBDH concepts |
Destiny Ziebol Advisor: Gyorgy Simon, Institute for Health Informatics Capstone: Synthetic raw EHR data generation with preserved causal structure |
Avinash Akella Advisor: Joseph Konstan, Department of Computer Science & Engineering Capstone: Beyond Accuracy: Understanding user perception of diversity and serendipity in online movie recommenders |
| SriHarshitha Anuganti Advisor: Rui Zhang, Institute for Health Informatics Capstone: A causal analysis to investigate factors associated with bariatric surgery |
Aviral Bhatnagar Advisor: Jaideep Srivastava, Department of Computer Science & Engineering Capstone: GeoAI |
Raj Vaibhav Gude Advisor: Erich Kummerfeld, Institute for Health Informatics Capstone: Identifying education and health outcome disparities in MN K12 BIPOC using Causal Inference |
Silas Swarnakanth Kati Advisor: Erich Kummerfeld, Institute for Health Informatics Capstone: Understanding Institutional and Systemic Factors Contributing to Achievement Gaps in Education and Strategies for Mitigation |
| Rahul Mehta Advisor: Erich Kummerfeld, Institute for Health Informatics Capstone: Causal Discovery Analysis of Bipolar Disorder Patients |
Steven Moore Advisor: Galin Jones, School of Statistics Capstone: Stellar Nucleosynthesis |
Gavin Schaeferle Advisor: Moein Enayati, Mayo Clinic Capstone: Identifying Unmet Needs for Phenotyping Using Deep NLP Algorithms |
Shifa Siddiqui Advisor: Rui Zhang, Institute for Health Informatics Capstone: Leveraging natural language processing to analyze healthcare data |
| Xiaobing Wang Advisor: Xiaotong Shen, School of Statistics Capstone: A Performance Evaluation of Group-Specific Recommender Systems |
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Fall 2022
The Fall 2022 Data Science Poster Fair featured seven posters. There was no best poster or people's choice award at the event. All submitted posters are detailed below.
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Spring 2022
The spring 2022 Data Science Poster Fair featured 14 posters and was the first event held in person since the pandemic.
People's Choice Award: Bob Sturm
Capstone project title: Towards Efficient IACT Calibration with Deep learning-based Muon Identification
Advisor: Lucy Fortson
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Fall 2021
The fall 2021 Data Science Poster Fair was held virtually via GatherTown. There was no best poster or people's choice award at the event. All submitted posters are detailed below.
| Poster 1: Won Joon Choi Advisor: Daniel Boley Capstone title: Patterns in Genomic Variation of SARS-CoV2 Poster 2: Ramanish Singh Advisor: Ilja Siepmann Capstone title: Prediction of Unary Adsorption Isotherms in Zeolites Using Neural Networks |
| Poster 4: Abby Slater Advisor: Daniel Boley Capstone title: Grain Quality Predictive Modeling Poster 5: Miao Yang Advisor: Arindam Banerjee Capstone title: Machine Learning and Equity Investment |
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Spring 2021
The spring 2021 Data Science Poster Fair was held virtually via Zoom. There was no best poster or people's choice award at the event. All submitted posters are detailed below.
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Spring 2020
Instead of submitting posters for in-person evaluation, the spring 2020 capstone projects were submitted via video. Each student prepared and submitted a five-minute video, highlighting their research under the guidance of their faculty advisor. All submissions were reviewed by a panel of faculty judges, and the winning projects were selected.
Best video award: Sai Kumar Kayala
Capstone project title: DeepFake Detection using Deep Learning
Advisor: Daniel Boley
Runner-up: Alexander Long
Capstone project title: Assessing Sensitivity of Income Inequality Measurements to Gerrymandering
Advisor: Shashi Shekhar
Runner-up: Suhail Alnahari
Capstone project title: Zooniverse Raccoon Project: Accelerating Crowd-Sourcing using Machine Learning
Advisor: Lucy Fortson