Jared Ucherek

Jared Ucherek

Data scientist at Advent International.

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publications

Auto-Suggestive Real-Time Classification of Driller Memos into Activity Codes for Invisible Lost Time Analysis

Published in IADC/SPE International Drilling Conference and Exhibition 2020, 2020

This explores the performance of basic NLP classifiers that classify daily driller memos into a wide variety of activity codes.

Recommended citation: Ucherek, Jared & Lawal, Tesleem & Prinz, Matthew & Li, Lisa & Ashok, Pradeepkumar & van Oort, Eric & Gobert, Tatiana & Mejia, Juan. (2020). Auto-Suggestive Real-Time Classification of Driller Memos into Activity Codes for Invisible Lost Time Analysis. 10.2118/199593-MS.

The Importance of Baseline Models for Sepsis Prediction

Published in Machine Learning for Healthcare, 2020

We develop vanilla machine learning models competitive with contemporary black-box models used in sepsis prediction. Our work illustrates the importance of rigorously defining the difficulty of your targeted task when developing novel solutions.

Recommended citation: Snyder, Christopher; Ucherek, Jared; Vishwanath, Sriram. (2020). The Importance of Baseline Models in Sepsis Prediction.