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Pairs Trading Algorithm Development for FLXAI

1. Introduction Investment, based on the definition of Robinhood (one famous online brokerage platform), is the attempt to buy assets (stocks, real estate, etc.) with own resources (money or credit) for the sake of future profits [1]. In the stock market, investors typically trade stocks in two different ways to gain future profits: a long […]

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Sentiment Analysis on Twitter Data Regarding Dental Issues associated with Opioid Consumption

DSCC383 Group I Team Youssef Ouenniche, Ian Kaplan, Michael Kingsley, Goutham Swaminathan, Shiva Rahul Edara Advisor: Professor Ajay Anand | Sponsor: Dr. Zidian Xie Analysis & Modeling Background: Opioid Use Disorder (OUD) is a chronic brain disease characterized by persistent opioid use despite harmful consequences. There are a number of Medication-Assisted Treatments (MATs) for OUD, […]

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1. Current Year Programs DSC

Public perception of marijuana/cannabis on Twitter in the US

Team Members Runtao Zhou, Qihao Yun, Jiahang Wu, Zhengyuan Wang, Mengmeng Yu Project Sponsor Dr. Zidian Xie Project descriptions and motivation Our project aims to explore the public’s perception of marijuana/cannabis in the US through Twitter data analysis. We aim to achieve four objectives, namely gaining insights into public perception of marijuana, investigating the topics […]

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University of Rochester: Corporate Purchasing Non-Clinical Spend Analysis

Team Team Member Major Amanda Pignataro B.S. in Data Science Avery Girksy B.S. in Data Science Ryan Hilton B.S. in Data Science Vaarya Srivastava B.S. in Data Science Mentor Prof. Cantay Caliskan , Goergen Institute for Data Science Sponsor University of Rochester Corporate Purchasing: Katherine Sadoff-Herrick, Neil Pierce, Jeff Meteyer, Carl Tietjen, Wen Li, Ph.D. […]

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Pickleball Analytics

Our project is to aid in the development of a pickleball analytics platform by improving ball detection and tracking. The baseline model used is a TrackNetV2 (Sun et. al. 2020) model trained on badminton, and the purpose of this project is to adapt the model by using transfer learning techniques to improve its performance in pickleball.

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A Comparison of MS and Ph.D. Programs for Three University of Rochester Departments between 2015-2022

1. Team 2. Mentor  Georgen Institute for Data Science (GIDS) 3. Sponsor Lisa Altman 4. Abstract Due to the continuously increased demand for Data Science degrees, our school will open a Data Science PhD program soon. Our project can help our school have a better understanding of the potential DS PhD for future recruitment and […]

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Clustering Analysis of HIV Prevention Strategies on Magnetic Couples Study

Magnetic Couple Study collected data and information from heterosexual couples who are of mixed HIV-status and recorded their prevention methods, including condom use, viral load, and new method-PrEP. This project focused on using unsupervised learning algorithms to examine the main predictors associated with protection strategies.

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DSC DSC Archive Machine Learning Medical Archive

Machine Learning Decision Support Tool For Trauma Activation Level

ML Based classification model to detect triage level for patients arriving at trauma centre, and thus allocate appropriate resources. This was achieved using patients’ data from URMC (Department of Paediatrics).

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Mitigating Class Imbalance by Generating Synthetic Coughs Using WaveGAN

Virufy has created machine learning models that analyze coughs in order to provide a COVID-19 diagnosis. Training these models requires an even balance between COVID-positive and COVID-negative data, but they unfortunately have very little positive data. In order to combat this issue, the team hoped to generate synthetic coughs that closely resemble real coughs.

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Classifying Patient Perceptions of Tolerability of Cancer Treatment

Team Academic Advisor Prof. Ajay Anand and Prof. Cantay Caliskan Project Sponsor Dr. Erika Ramsdale and the URMC Geriatric Oncology Team Introduction Studies in recent years have shown that cancer rates have declined in the overall population, but are on the rise in people over the age of 65. In fact, people over 65 years […]

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Revenue Forecast Using Time Series-Based Deep Learning Model

Team Mentor Professor Ajay Anand Dr. Preston Countryman Sponsor Corning Inc. – Data Science & Intelligence (DSI) Team Abstract Corning wants to develop a deep-time-series model to perform accurate customer-level demand forecasting using daily purchasing data. The goal of this project is to predict the revenue income in a given time period and predict quantity […]