Bias Detection Tool Cohort Member
I joined a cohort working remotely on Algorithm Audit's bias detection tool. Specifically, I'm contributing to the NGO's Github repository and the tool's functionality on the Dutch NGO's website.
We are applying the tool to a Dutch public sector use case and will write up our findings in a paper.
January 2024 - June 2024
Graduate Teaching Assistant
January 2024 - March 2024
As a Graduate Teaching Assistant (GTA) for Machine Learning, I ran weekly labs and marked the coursework. I also led four labs and a couple of tutorials for Data Structures every few weeks and I marked for this course too.
January 2023 - March 2023
As a GTA for Machine Learning, I ran two weekly labs and tutorials. In addition, I was the GTA for the AI Impact Accelerator module. I also led two tutorials and two labs for Data Structures every three weeks.
September 2021 - December 2021
As a GTA for Artificial Intelligence, I ran two weekly online live tutorials where I made sure the students were confident
with the material and the tutorial sheet answers. I also ran four virtual live labs each week where students worked on developing a successful pacman agent during the Autumn 2021 term.
January 2021 - April 2021
As a GTA for Machine Learning, I ran two small group live sessions weekly for undergraduates covering the tutorial sheet for that week. I also was a GTA for the Big Data Technologies course. I ran three online live lab sessions weekly
for masters students, helped answer any questions they had, and marked coursework.
January 2021 - March 2024
PhD Mentor for DAAD Rise Worldwide Recipient
I hosted a German undergraduate student researcher over 8 weeks while she worked alongside me on my
PhD research project. She was funded by the DAAD RISE Worldwide program. We collaborated with one another and
wrote papers on the work we completed.
August 2022 - September 2022
I completed a 5 month (~two days a week) PhD Placement at RTA (prev. CDEI)--a part of the UK's Civil Service, enabling the trustworthy use of data and AI. I worked on two different projects:
the Responsible Demographic Data and the Bias Review projects. I collaborated with colleagues on both projects,
reached out to stakeholders and contributed to those discussions, and lead work in the Bias Review project. For London Tech Week 2022,
I co-authored a blog post about demographic data collection and bias detection.
I learned a great deal about the intersection of the technology, policy, and data ethics fields and am eager to
stay involved with the tech policy space.
February 2022 - July 2022
AI Robustness Researcher/Developer
Alongside three other PhD Student colleagues, I completed a literature review of AI Robustness methods, zoning in on NLP, weight-poisoning attacks, and poisoning detection methods.
We developed a project combining state of the art AI Robustness and NLP research. I was the lead point person for communicating with our stakeholder, EY, every week over the 10 week project.
To learn more about what we developed, check out our GitHub repository here: RobuSTAI.
January 2021 - April 2021