Victoria Lin

Hello! I am a PhD student in the Department of Statistics and the Machine Learning Department at Carnegie Mellon University, where I am advised by Louis-Philippe Morency and Eli Ben-Michael. I am broadly interested in problems at the intersection of causal inference and machine learning, particularly in natural language settings. My work is supported by a Meta Research PhD Fellowship.

I'm currently a Student Researcher at Google DeepMind with Alexander D'Amour and have interned at Microsoft Research Cambridge and Microsoft Research Redmond. Before my PhD, I was a master's student in CMU's Language Technologies Institute, where I worked on multimodal machine learning and affective computing (also with LP Morency and with Jeffrey Girard). I obtained my AB in Statistics and Molecular & Cellular Biology from Harvard University, then spent a wonderful year as a researcher with Miguel Hernán in the Program for Causal Inference (now CAUSALab) at the Harvard School of Public Health.

I am on the 2026 job market. If you'd like to chat, please feel free to reach out at victoria(at)stat(dot)cmu(dot)edu.

Publications
* denotes equal contribution

Preprints

Omitted Variable Bias in Language Models Under Distribution Shift [paper]
Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael

Better Think Thrice: Learning to Reason Causally with Double Counterfactual Consistency [paper]
Victoria Lin, Xinnuo Xu, Rachel Lawrence, Risa Ueno, Amit Sharma, Javier Gonzalez, Niranjani Prasad

Conferences

Isolated Causal Effects of Natural Language [paper][code]
Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael
ICML 2025

Optimizing Language Models for Human Preferences is a Causal Inference Problem [paper][code]
Victoria Lin, Eli Ben-Michael, Louis-Philippe Morency
UAI 2024

Text-Transport: Toward Learning Causal Effects of Natural Language [paper][code]
Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael
EMNLP 2023

Counterfactual Augmentation for Multimodal Learning Under Presentation Bias [paper][code]
Victoria Lin, Louis-Philippe Morency, Dimitrios Dimitriadis, Srinagesh Sharma
EMNLP Findings 2023

SenteCon: Leveraging Lexicons to Learn Human-Interpretable Language Representations [paper][code]
Victoria Lin, Louis-Philippe Morency
ACL Findings 2023

SeedBERT: Recovering Annotator Rating Distributions from an Aggregated Label [paper]
Aneesha Sampath, Victoria Lin, Louis-Philippe Morency
UDM-AAAI Workshop 2023

Toward Multimodal Modeling of Emotional Expressiveness [paper][code]
Victoria Lin*, Jeffrey Girard*, Michael Sayette, Louis-Philippe Morency
ICMI 2020 (Best Paper nominee)

Context-Dependent Models for Predicting and Characterizing Facial Expressiveness [paper]
Victoria Lin, Jeffrey Girard, Louis-Philippe Morency
AAAI AffCon Workshop 2020 (Best Paper Award)

Journals

gfoRmula: An R package for estimating the effects of sustained treatment strategies via the parametric g-formula [paper][code][software]
Sean McGrath*, Victoria Lin*, Zilu Zhang, Lucia Petito, Roger Logan, Miguel Hernán, Jessica Young
Patterns Volume 1, Issue 3 (2020)

Enhancing GABA signaling during middle adulthood prevents age-dependent GABAergic interneuron decline and learning and memory deficits in ApoE4 mice [paper]
Leslie Tong, Seo Yeon Yoon, Yaisa Andrews-Zwilling, Alyssa Yang, Victoria Lin, Hanci Lei, Yadong Huang
Journal of Neuroscience Volume 36, Issue 7 (2016)