Jette Henderson

About Me

In 2018, I completed my doctorate at The University of Texas at Austin in the Computational Sciences, Engineering, and Mathematics program where I worked with Joydeep Ghosh at the Intelligent Data Exploration and Analysis Lab. In my doctoral research, I developed 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 have also developed tools to explore the validity of these phenotypes.

I'm currently a Senior Machine Learning Research Scientist at CognitiveScale where I focus on researching and integrating fairness, accountability, and responsibility methods and approaches into machine learning processes.

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 machine learning. Now that I'm here, there's no place I'd rather be.

I am enthusiastic about puns and am the author of the now-defunct web comic called twistedpencil, a venue that fused my love of poorly drawn hand puppets, wordplay, and mathematics. Like many people, I love traveling, reading, and food (making and eating) with a healthy dose of hiking, running, stretching, biking, and generally not sitting still.


 2015-2018 PhD, Computational Sciences, Engineering, and Mathematics, The University of Texas at Austin, Austin, TX
  Advisor: Joydeep Ghosh
 2011-2014MS, Computational Sciences, Engineering, and Mathematics, The University of Texas at Austin, Austin, TX
  Advisor: Dewayne Perry
 2008-2009Post-Baccalaureate Certificate, Mathematics, Smith College, Northampton, MA
 2004-2008BA, Mathematics, The Colorado College, Colorado Springs, CO


 2020Monica Ribero, Jette Henderson, Sinead Williamson, and Haris Vikalo. Federating Recommendations Using Differentially Private Prototypes. Pattern Recognition, 2020 (under review).
 2020Jette Henderson, Shubham Sharma, Alan Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh. Certifai: A Toolkit for Building Trust in AI Systems. International Joint Conferences on Artificial Intelligence Organization (IJCAI-PRICAI), 2020.
 2020Shubham Sharma, Jette Henderson, and Joydeep Ghosh. CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models. AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020.
 2019Jette Henderson, Abel N. Kho, Joshua C. Denny, Bradley A. Malin, Jimeng Sun, Joydeep Ghosh, and Joyce C. Ho. CP Tensor Decomposition with Cannot-Link Intermode Constraints. SIAM International Conference on Data Mining, 2019.
 2019Huan He, Jette Henderson, and Joyce C Ho. SGranite: Distributed Tensor Decomposition for Large Scale Health Analytics. The Web Conference 2019 (WWW), 2019.
 2018Jette Henderson, Joyce C. Ho, Bradley A. Malin, and Joydeep Ghosh. PIVETed-Granite: Computational phenotypes through constrained tensor factorization. KDD Workshop on Machine Learning for Medicine and Healthcare, 2018. Winner of Best Student Paper.
 2018Jette Henderson, Huan He, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Joydeep Ghosh, and Joyce C Ho. Phenotyping through Semi-Supervised Tensor Factorization (PSST). AMIA 2018 Annual Symposium, 2018.
 2018Jette Henderson, Junyuan Ke, Joyce C Ho, Joydeep Ghosh , Byron C Wallace. Phenotype Instance Verification and Evaluation Tool (PIVET): A Scaled Phenotype Evidence Generation Framework Using Web-Based Medical Literature. Journal Medical Internet Research 2018;20(5):e164.
 2017Jette Henderson, Joyce C. Ho, Abel N. Kho, Joshua C. Denny, Bradley A. Malin, Jimeng Sun, and Joydeep Ghosh. Granite: Diversified, Sparse Tensor Factorization for Electronic Health Record-based Phenotyping. In Proceedings of 5th IEEE International Conference on Healthcare Informatics (ICHI), 2017.
 2017Jette Henderson, Joyce C. Ho, and Joydeep Ghosh. gamAID: Greedy CP Tensor Decomposition for Supervised Electronic Health Record-based Disease Trajectory Differentiation. To appear in Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
 2017Jette 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.
 2016Matias I. Hurtado, Jette Henderson, and Joydeep Ghosh. Evaluating Differences Between MIMIC II and III Critical Care Databases. Poster at AMIA 2016 Annual Symposium.
 2016Ryan 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.
 2016Jette 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).
 2015Jette 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.
 2015Ayan 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.
 2013Jette 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.
 2009Emma 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).
 2008Jette 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).