2023 WAMM Participants
| Name | Project Title |
| Jing Cao | Visualizing Nonnormality |
| Joyce Chen | Deep Learning Weather Prediction |
| Parker Crotty | Continuous Modeling: Waves |
| Sihao Feng | Multiscale Time Stepping With Neural Network |
| Weixuan Liu | The Impact of Initialization on the Learning Performance of Neural Networks |
| Xinyi Meng | Continuous Modeling: Waves |
| Ellie Menton | Visualizing Nonnormality |
| Bao Han Ngo | Factor Models for Building Stock Portfolios in the US and China |
| Xinyue Sun | Factor Models for Building Stock Portfolios in the US and China |
| Annabel Wade | Deep Learning Weather Prediction |
| Cindy Wang | Image classification and various denoising and deblurring methods |
| Xiqian Yuan | Multiscale Time Stepping With Neural Network |
| Xinyue Zhang | The Impact of Initialization on the Learning Performance of Neural Networks |
| Ziyan Zhou | Cross-Validation of ML on MNIST Data Set |
Special thanks for mentors: Erin Angelini, Eleanor Byrnes, Katherine Johnston, Kaitlynn Lilly, Helena Liu, Yining Shao, Natalie Wellen
2022 WAMM Participants
| Student | Project Title |
| Huijing Chen | Linear Regression Models of Femicide Data in Mexico |
| Kaidi Chen | Support Vector Machine fro Customer Churn Prediction in Banking |
| Bella Cochran | Interpolating the Climate |
| Yunxin Hong | Classifying Tumors with Supervised Learning |
| Linshuo Li | Classifying Tumors with Supervised Learning |
| Krista Matuska | Interpolating the Climate |
| Katherine Solchaga | Linear Regression Models of Femicide Data in Mexico |
| Natalie Tassielli | Computer Vision for Dummies: Classifying MNIST |
| Michelle Utama | Support Vector Machine for Customer Churn Prediction in Banking |
| Carey Zhou | Computer Vision for Dummies: Classifying MNIST |
Special thanks for mentors: Chavisa Arpavoraruth, Nicole Nesbihal, Pragya Sharma, Doris Voina, Natalie Wellen.
2021 WAMM Participants
| Student | Project Title |
| Nadia Domnina | Markov Chain Applications |
| Camille Gates | Modeling Tumor Immune Dynamics |
| Chloë Mitchell | Exploring Models of Tumor Growth |
| Hinda Nguyen | Covid Model Simulation |
| Leqi Wang | Koopman Operator: DMD Simulation on SIR Model |
| Sabrina Zerrade | Dimensions in Neural Signals |
| Wuwei Zhang | Exploring MNIST |
Special thanks for mentors: Olga Dorabiala, Nora Gilbertson, Katie Johnston, Echo Liu, Megan Morrison, Katherine Owens, Natalie Wellen
2020 WAMM Participants
| Student | Project Title |
| Jan Eliza G Dee | Analysis and Comparison of Knit stitches using a Mechanical Energy Model |
| Weien Guo | European and American Options Pricing Using Monte Carlo Simulation |
| Alisha Luo | SVD Image Denoising |
| Sanjana Sathyanarayanan | Enigma Encryption |
| Frances Scott-Weis | Neural Networks |
| Yiru Xiong | |
| Ester Yang | Recommender Systems for Movies |
Special thanks to mentors: Olga Dorabiala, Ayesha Ghaffar, Nora Gilbertson, Katie Johnston, Echo Liu, Katherine Owens, Doris Voina
2019 WAMM Participants
| Student | Project Title |
| Vanessa Lyu | Optimal Control in Marriage |
| Ondrea Robinson | HIV Modelling: Recreating Continuous and Burst Models |
| Anna Zhou | Neural Networks |
| Yiwen Qiu | Research About Wealth Inequality |
| Yiling Sun | Supervised Semantic Classification with Principal Component Analysis |
| Yinxi Pan | Predict Survivals on the Titanic |
Special thanks to mentors: Doris Voina, Natalie Wellen, Kelsey Maass, Olga Dorabiala, Micah Henson, Nora Gilbertson
2018 WAMM Participants
| Student | Project Title |
| Emily Flanagan | Bugs! Modeling Host-Parasitoid Systems |
| Emma Raible | MPF and Regulation of the Cell Cycle |
| Liz Ramsden | Finding a function from experimental data |
| Yusha Wang | Discrete Choice Modelling in Airline Network Management |
| Michelle Yeung | Face Detection Using Eigenfaces |
Special thanks to mentors: Kathleen Champion, Kelsey Maass, Kelsey Marcinko, Megan Morrison, Saumya Sinha