Student Achievement

Ongoing projects

  • Computer Aided Diagonsis (CAD) System for Breast Ultrasound Images, supported by Mayo Seed Grant.

  • Master thesis: Stock Forecast, the Numerai competition, Jingwen Zhang, Ge Shi.

Sample Student Work

  • Self Driving Car, Video, Presentation, Yuanqing Suo

  • Tongue Detection Algorithm for Diabetes Diagnosis, Jianmu Deng, Demo (click quick start)

  • Automated Stock Trading with Prophet Model, Mitchell Maegaard, GitHub

  • Statistical Analysis of the Proxy Data for La Crosse County, Megan Dehn, Cassandra Quinn, La Crosse Tribune

  • The RSA Pneumonia detection challenge (Kaggle Competition), Christian Stohlmann, Video

  • Recurrent Neural network for Mario Cart, Jinhuan Lei, GitHub

  • Diabetes detection via tongue picture diagnosis, Walker Christensen, Mitchell Maegaard, Slides

  • A practical guide to Hadoop and Kafka, Wanqian Huang, GitHub

  • Patient-provider assignment (with LHI), Slides

  • Estimating the treatment effects, Mayo Data Challenge, Cassie Quinn and Brandon Brunner. Slides

  • Building self-driving car using convolutional neural network, Jake Wolfe. Video

  • Machine learning on detection of Higgs Boson, Elizabeth McMahon. Poster Slides

  • Predicting survivability of Titanic Disaster Using Machine Learning. Poster Slides

  • Quoting strategy, (with Fastenal Co.) Paper, Video Presentation

  • Automated scheduling for the department of mathematics. Paper

Master Thesis

  • Computer-Aided Diagnosis of Breast Cancer from Ultra Sound Images, Adam Silberfein, 2021, Paper

  • Classification of Breast Lesions using Deep Learning, Justin Hall, 2021, Paper

  • Comparison of Semi-Supervised Learning Methods for Detection of Marine Species, Lucas Spellman, 2021, Paper

  • A Detection Tool for Traffic Objects, Jiashu Li, Wentai Peng, 2021, Paper

  • Applications of Time Series Analysis for Forecasting Fuel Sales and Change Point Detection, CJ Corey, 2020

  • Topic Segmentation Software for Non-tech Users, Nathan Diedrick, 2020

  • Self Driving Car, Yuanqing Suo, 2020, Paper

  • Tongue Detection Algorithm for Diabetes Diagnosis, Jianmu Deng, 2020

  • Yelp Restaurant Recommendation Algorithm Using Text Review, Zeya Kong, 2019, Paper

  • Recurrent Neural Network for Mario Cart, Jinhuan Lei, 2019, Paper

  • Sale Forecasting: Regression, Time Series and LSTM, Yuxin Liu, 2018, Paper

2021

  • Power Grid Failure Prediction using Reinforcement Learning, Ethan Manhart

2020

  • Bayesian Network in R, Adam Steckbauer

  • Marine life detection algorithm for aerial pictures, supported by USGS, Lucas Spellman, Simon Wagner

2019

  • Statistical analysis of the proxy data for La Crosse County, Megan Dehn, Cassandra Quinn

  • Automated Stock Trading, Mitchell Maegaard

  • Tongue detection algorithm for diabetes diagnosis, Graham Miller

2018

  • The RSA Pneumonia detection challenge (Kaggle Competition), Christian Stohlmann

  • A practical guide to Hadoop and Kafka, Wanqian Huang

  • Diabetes diagnosis via tongue picture diagnosis, Walker Christensen, Mitchell Maegaard

  • Developing patient-provider assignment algorithm for Logistic Health Inc, the industrial math student group

  • Estimating treatment effect with propensity analysis, Brandon Brunner and Cassandra Quinn

2017

  • R tutorial for Marketing Analytical Models, Corey Calvin

  • Housing price prediction: Zillow's challenge, Brandon Brunner and Hunter Droegkamp

  • Application of LDA (Latent Dirichlet Allocation) model to text analytics problem

  • Building self driving car using coevolutionary neural network, Jake Wolfe

  • Machine learning on detection of Higgs Boson, Elizabeth McMahon

  • Predicting survivability of Titanic disaster using machine learning (a Kaggle project), Elizabeth McMahon, Nicole Nelson

  • Detection of SPA and profitability optimization, with Fastenal Co., PIC math students

  • Inventory consumption and redistribution system ,with Fastenal Co., PIC math students

  • Quoting strategy, with Fasetnal Co., PIC math students

2016

  • Mathematical modeling of air conditioner economizer, collaboration with TRANE, Tom Theisen, Jake Wolfe

  • Crime analysis of Chicago and Milwaukee, Tom Theisen, Jake Wolfe

  • Predicting freshmen retention rate of UW - La Crosse, collaboration with the institutional research office of UWL. Yu Guan, Laura Kaiser, Jack Meyers, Daniel Morrison and Alex Skelton

  • Industrial parts unit pricing, collaboration with Fastenal Co. Alex Skelton

  • Automated scheduling for the department of mathematics. Jack Meyers and Daniel Morrison

  • Find exoplanets using Doppler Spectroscopy. Kelly Emmrich

2015

  • Sale forecasting, collaboration with Fastenal Co. Daniel Morrison

  • Tennis scheduling for a local tennis club. Yu Guan and Jack Meyers