Hi, I’m Katie! I’m a 2021 Marshall Scholar and a first-year Machine Learning PhD candidate in the Dept. of Engineering at the University of Cambridge, where I am supervised by Adrian Weller MBE and advised by Richard Turner in the Computational and Biological Learning (CBL) Lab on trustworthy machine learning, probabilistic modeling, and data-efficient human-machine teaming. I am also a Student Fellow at the Leverhulme Centre for the Future of Intelligence (CFI) and am closely involved in an exciting collaborative effort on Human-Oriented Automated Theorem Proving, led by Sir Tim Gowers. I am thankful to King’s College Cambridge and the Cambridge Trust for additional funding support for my studies.

I recently completed an MPhil in Machine Learning and Machine Intelligence from the University of Cambridge. I completed my disseration under the co-supervision of Adrian and Umang Bhatt. I obtained a Bachelors of Science from MIT in 2021 where I majored in Brain and Cognitive Sciences with minors in Computer Science and Biomedical Engineering, and was supervised by Josh Tenenbaum and advised by Tomaso Poggio. I’ve also had the pleasure of working with many other fantastic researchers and mentors in the MIT Computational Cognitive Science Group such as Vincent Sitzmann, Kevin Smith, Tuan Anh Le, Bernhard Egger, and Cathy Wong.

Before that, I had the incredible opportunity to work at the intersection of machine learning and biomedical enginering with great collaborators at the Wyss Institute at Harvard, the MIT Center for Syntethic Biology, and the Broad Instiute. I am grateful to have received funding for some of my undergraduate research through a Goldwater Scholarship and the Johnson & Johnson UROP Scholars Program.

I am also passionate about bringing more diverse voices to the table in AI and founded the MITxHarvard Women in AI Group. Likewise, I am keen to contribute to conversations around the implications of AI and helped develop new curricular materials for MIT’s undergraduate machine learning courses as part of the MIT Case Studies in Societal and Ethical Responsibilities of Computing (SERC). I also recently co-organized the 2022 ICML Workshop on Human-Machine Collaboration and Teaming (HMCaT).

Outside of research, I love to run (!) and used to run competitively for MIT.

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