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Summary

Having recently graduated with a Master of Science degree in Statistics from the University of Illinois Urbana-Champaign in May 2024, I have developed a robust foundation in various statistical and computer science disciplines, including deep learning, computer vision, and Bayesian machine learning. Additionally, I hold a Master of Science degree in Economics from the University of Wisconsin-Madison, where I specialized in applied econometrics and causal inference.

Before my recent academic pursuits, I accumulated five years of experience as a data scientist in the healthcare industry, focusing on developing transformer models, latent variable models, causal inference models, and time series forecasting models.

Highlights

πŸ“– Completed Master's in Statistics @ The University of Illinois Urbana-Champaign.

πŸ“– Completed Master's in Economics @ The University of Wisconsin-Madison.

πŸ’» Currently building open-source projects in graph transformer models, LLMs, causal models, and time-series forecasting.

πŸ–₯️ Selected Open-Source Projects

Machine Learning
Title Stars Technologies
EHR-BERT Stars PyTorch
Amortized Bayes Stars PyTorch
OpenCodeInterpreter-DS-6.7B-Finetune Stars PyTorch
Swin Transformer Stars PyTorch
Starcoder2-3B-Finetune Stars PyTorch

Jordan Deklerk's Projects

Jordan Deklerk doesn’t have any public repositories yet.

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