Alexandra (Ola) Zytek

Machine learning algorithms are becoming increasingly powerful - but how can we extend their benefits to a diverse set of real-world domains? Models continue to be black-boxes that confuse and concern users, and applying them can be a difficult and complicated process. 

My research aims to bridge the gap between algorithms and real-world users through collaborations with end-users and development of software systems and interfaces that make applying ML with seamless support for the nuances of real-world domains easier.

I am a PhD student at MIT, researching at the Data to AI lab under the supervision of Kalyan Veeramachaneni.  


Publications

Google Scholar

Zytek, A., Liu, D., Vaithianathan, R., & Veeramachaneni, K. (2021). Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making. In IEEE Transactions on Visualization and Computer Graphics (VIS).

Cheng, F., Liu, D., Du, F., Lin, Y., Zytek, A., Li, H., Qu, H. & Veeramachaneni, K. (2021). VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models. In IEEE Transactions on Visualization and Computer Graphics (VIS). Honorable Mention.

Zytek, A., Liu, D., Vaithianathan, R., & Veeramachaneni, K. (2021, May). Sibyl: Explaining Machine Learning Models for High-Stakes Decision Making. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-6).

McGrath, S., Mehta, P., Zytek, A., Lage, I., & Lakkaraju, H. (2020). When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making. arXiv preprint arXiv:2011.06167.

Paul, S., Hole, F., Zytek, A., & Varela, C. A. (2018, September). Wind-aware trajectory planning for fixed-wing aircraft in loss of thrust emergencies. In 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC) (pp. 1-10). IEEE.

Paul, S., Hole, F., Zytek, A., & Varela, C. A. (2017). Flight trajectory planning for fixed-wing aircraft in loss of thrust emergencies. In the Second International Conference on InfoSymbiotics (DDDAS).

Theses

Zytek, A. (2021). Towards Usable Machine Learning (S.M. thesis, MIT).


Projects

Pyreal 

A python library that provides ML usability tools and explanations that are designed for use by human decision-makers.

Sibyl API

API for developing ML usability tools.

Sibylapp

User interface for a usable ML decision aid for child welfare screening.


Contact

Email

zyteka at mit dot edu

Office

MIT Stata Center
32 Vassar St, Room 32-D712
Cambridge, MA 02139