I am a doctoral student at The University of Texas at Austin in the Computational Sciences, Engineering, and Mathematics program where I work under Joydeep Ghosh at the Intelligent Data Exploration and Analysis Lab. Currently, I am developing machine learning techniques to tackle healthcare challenges. Specifically my research uses nonnegative tensor factorization to extract phenotypes from EHR data in a high-throughput manner. We are also developing tools to explore the validity of these phenotypes.
I came to mathematics and computer science by a circuitous route through comparative literature and chemistry. I have had an odd assortment of jobs and educational experiences (see CV) that finally led me to graduate school in machine learning. Now that I'm here, there's no place I'd rather be.
I am enthusiastic about puns and may or may not be the author of the now defunct web comic called twistedpencil, a venue that fused my love of poorly drawn hand puppets, word play, and mathematics. Like most people, I love traveling, reading, and food (making and eating) with a healthy dose of hiking, running, stretching, biking, and generally not sitting still.
|2015-Present||PhD, Computational Sciences, Engineering, and Mathematics, The University of Texas at Austin, Austin, TX|
|Advisor: Joydeep Ghosh|
|2011-2014||MS, Computational Sciences, Engineering, and Mathematics, The University of Texas at Austin, Austin, TX|
|Advisor: Dewayne Perry|
|2008-2009||Post-Baccalaureate Certificate, Mathematics, Smith College, Northampton, MA|
|2004-2008||BA, Mathematics, The Colorado College, Colorado Springs, CO|
|2017||Jette Henderson, Ryan Bridges, Joyce C. Ho, Byron C. Wallace, and Joydeep Ghosh. PheKnow-Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature. In Proceedings of AMIA Joint Summits on Translational Sciences. Recipient of the 2017 Distinguished Clinical Research Informatics Paper Award.|
|2016||Matias I. Hurtado, Jette Henderson, and Joydeep Ghosh. Evaluating Differences Between MIMIC II and III Critical Care Databases. Poster at AMIA 2016 Annual Symposium.|
|2016||Ryan Bridges, Jette Henderson, Joyce C. Ho, Byron C. Wallace, and Joydeep Ghosh. Automated Verification of Phenotypes using PubMed. In Proceedings of ACM BCB Workshop on Methods and Applications in Healthcare Analytics.|
|2016||Jette Henderson, Daniel Frazee, Nick Siegel, Cheryl Martin, and Alexander Liu. Evaluating Methods for Distinguishing Between Human-Readable Text and Garbled Text. In Proceedings of The Florida Artificial Intelligence Research Society (FLAIRS).|
|2015||Jette Henderson, Joyce C. Ho, Joydeep Ghosh, Suriya Gunasekar, and Jimeng Sun. Personalized Diversified Tensor Factorization for Phenotyping. In Neural Information Processing Systems (NIPS) 2015 Workshop on Machine Learning in Healthcare.|
|2015||Ayan Acharya, Dean Teffer, Jette Henderson, Marcus Tyler, Mingyuan Zhou, and Joydeep Ghosh. Gamma Process Poisson Factorization for Joint Modeling of Network and Documents. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), pages 283--299.|
|2013||Jette Henderson and Dewayne E. Perry. Exploring Issues in Software Systems Used and Developed by Domain Experts. In 5th International Workshop on Software Engineering for Computational Science and Engineering (SE-CSE 2013), 35th International Conference on Software Engineering (ICSE 2013), pages 96--99.|
|2009||Emma Schlatter, Jette Henderson, Sarah Rathnam, and Emily Gunawan. Unfolding Convex Polyhedra. In Joint Meetings of the American Mathematical Society and Mathematical Association of America (JMM).|
|2008||Jette Henderson and Megan Flink. The Frobenius Level Problem for Certain Infinite Families of Sets. In Joint Meetings of the American Mathematical Society and Mathematical Association of America (JMM).|