Congratulations to our 2022 Public Health Research Day Biostatistics poster winners!

taylor fortnam pointing at poster

Congratulations to our Biostatistics students who won posters at the 2022 School of Public Health Research Day! Over 70 Public Health students presented their posters on Tuesday, April 5th at Alumnae Hall at the 23rd annual Public Health Research Day. A tradition where undergrad, graduate, and postdocs are able to present their research and interact among other members of the Brown community. Our winners include:

Best Master's Poster
Joanna Walsh
Simulations and Applications of EFA and MFA Methods Applied to ADNI Cognitive Data

Master's Runner-Up
Lin Feng Zou
United States COVID-19 Daily Cases Prediction in 2020 Using Bidirectional LSTM with Clustered Data

Best Doctoral/Post-Doctoral/MD Poster

Taylor M. Fortnam
Evaluating the Impact of Rhode Island's Targeted Vaccine Eligibility Strategy

 

Thanks to all of our biostatistics students who participated!

Fandi Chang, Using Bayesian Multilevel Models to Analyze the Treatment Effects of Behavior Interventions from N-of-1 Trials
Tobias DeKara, Reinforcement Learning for Best-Subset Variable Selection
Yi Ding, ARIMA models for predicting the number of new covid-19 cases of the 51 states in the US 
Taylor Fortnam, Evaluating the Impact of Rhode Island's Targeted Vaccine Eligibility Strategy
Patrick Gravelle, Zero-Inflated Hierarchical Generalized Dirichlet Multinomial Bayesian Regression Model for Analysis of TDP-43 on ALS-FTD Spectrum
Blake Hansen, Fast Variational Inference for Sparse Bayesian Multi-study Factor Analysis 
Gauri Kamat, An Empirical Comparison of Probabilistic Record Linkage Techniques 
Nickolas Lewis, Effectiveness of Vaccination in Preventing COVID-19 Reinfection
Yezhi Pan, Effect of Co-prescribing Benzodiazepines and Opioid Analgesics Among Older Cancer Patients
Allison Quintana, Evaluating Clinical Utility of Multi-Category Outcome Risk Prediction Models 
Jennifer Scodes, Comparison of methods for analyzing proxy responses in patient-reported outcomes
Whitney Su, Modified Bootstrap for Causal Inference
Yanyu Tao, Factors Associated with Weight Gain and Viral Suppression in Dolutegravir Combination Therapy Receivers
Joanna Walsh, Simulations and Applications of EFA and MFA Methods Applied to ADNI Cognitive Data
Xuenan Wang (Jasmine Wang), Predicting tracheostomy using ventilator support at 36 and 44 weeks in infants with severe bronchopulmonary dysplasia
Lin Feng Zou, United States COVID-19 Daily Cases Prediction in 2020 Using Bidirectional LSTM with Clustered Data

To see the highlights and other winners, click here