talks
Presentations and conference proceedings.
Enhancing target trial emulation with nature language processing: a case study of corticosteroids for sepsis patients in critical care
Presented some work at AMIA 2024. Here is my talk!
FEMI: A Foundation Model for Embryology Trained on Time-lapse Images
We presented at ESHRE 2024. Here is my talk!
STEM From Podcast, Where does your journey STEM from?
I was on the STEM From podcast with Dr. Carina Minardi. Check it out here.
Predicting Embryo Ploidy Status Using Time-lapse Images
Here is my talk!
Federated Learning and Data Heterogeneity
Watch the recording here!
Methods and Results for Models Developed to Score Student Responses Using BERT
This brief describes the results of a data challenge to evaluate the potential of using automated scoring techniques to score open-ended responses to reading assessment items. The purpose of the challenge was to help NAEP determine the existing capabilities, accuracy metrics, the underlying validity evidence of assigned scores, and costs and efficiencies of using automated scoring.
Intro to Machine Learning
Here is a link to the talk.
Predicting criminal recidivism using specialized feature engineering and XGBoost
The National Institute of Justice’s (NIJ) “Recidivism Forecasting Challenge” (the Challenge) aims to increase public safety and improve the fair administration of justice across the United States.
Extracting Smoking Status from Electronic Health Records Using NLP and Deep Learning
Effect of Flow Regime on Snowflake Yeast Evolution
Here is a link to the poster.