I am a Computer Science PhD candidate at Rensselaer Polytechnic Institute (RPI) in Troy, New York advised by Prof. Alex Gittens in collaboration with Dr. Mikhail Yurochkin from IBM Research (MIT-IBM Watson AI Lab) and Prof. Yuekai Sun from University of Michigan. My current research focuses on efficient techniques for alignment of foundation models. I am also interested in the out-of-distribution (OOD) generalization research and the applications of AI in solving real world problems.
Before joining RPI, I worked as a research intern at Microsoft Research in Redmond, Washington in Summer 2018, where I implemented a robust and scalable video processing engine that performed real-time image classification and labeling using a state-of-the-art deep neural network, and measured its performance. I received my BS in Software Engineering from Barrett, The Honors College at Arizona State University.
Outside of work and school, I like to hike, dance and listen to music. I also like to travel and to interact with people from different cultures!
Email: lilianngweta@gmail.com
Updates!
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September 2024: Our aligners paper has been accepted to EMNLP 2024 Findings!
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June 2024: A full-length preprint of our work Aligners: Decoupling LLMs and Alignment is now available!
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Summer 2024: Excited to intern with a team in the AI-powered Automation group at IBM Research led by Dr. Yara Rizk, mentored by Dr. Jason Tsay and Kiran Kate!
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February 2024: Our work Aligners: Decoupling LLMs and Alignment got accepted as a tiny paper for an oral presentation at ICLR 2024!
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Summer 2023: Excited to return to IBM Research as a Research Extern this summer, mentored by Dr. Mikhail Yurochkin and Dr. Yuekai Sun!
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April 2023: Our paper Simple Disentanglement of Style and Content in Visual Representations got accepted at ICML 2023!
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Summer 2022: Very privileged to work under the mentorship of Dr. Mikhail Yurochkin and Dr. Yuekai Sun this summer as an IBM Research Extern!
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August 2022: Started working with Professor Alex Gittens as my PhD advisor!