Publications and Talks
2022
- Data-Centric Machine Learning Pipeline for Hardware Verification. The 35th IEEE International System-on-Chip.
2021
- Data science volunteering for criminal justice. Austin Python Meetup.
2020
- Efficient Bug Discovery with Machine Learning for Hardware Verification. Arm Research Blog.
- Exploiting while exploring: effective bug discovery in unit-level verification via supervised learning. The 57th Design Automation Conference.
- Officer-involver shooting (OIS) in Texas (talk video). Texas Justice Initiative.
2019
- Reflection on the Tech Policy Workshop event at USF Data Institute Center for Applied Data Ethics.
- Case study: Real-world machine learning application for hardware failure detection. Proc. of the 18th Python In Science Conf (Scipy 2019).
- Fairness in ML. Arm Global Engineering Conference; Data & Diversity Workshop.
- Introduction to Fairness in ML. Arm DS/ML Journal club.
2018
- A Practical Guide to Machine Learning. Guest lecture at the Computer Architecture course at UT Austin.
- Talent, luck and success: simulating meritocracy and inequality with stochasticity. Medium.
2017
- The effects of delay duration on visual working memory for orientation. Journal of Vision.
- Visual short-term memory for oriented, colored objects. Journal of Vision.
2016
2015
- Visual working memory of irrelevant features in multi-feature objects. Journal of Vision.
2013
- Visual short-term memory resource is not shared among features. Journal of Vision.
- Continuous resources and variable precision in working memory. Journal of Vision.