I’m a Fulbright Scholar and a PhD candidate in Civil Engineering at Cornell University.
My research bridges discrete choice modeling and interpretable machine learning—working at the intersection of accurate prediction and meaningful explanation. In other words, I’m interested in models that not only perform well, but also help us understand why people make the choices they do.
I am also passionate about online education, and I’ve had the privilege of working with DeepLearning.AI creating AI technical courses and specializations.
If you're into interpretable ML or discrete choice modeling and want to collaborate, share your research, or learn more about my work, let’s connect!