I am an Assistant Professor in the Department of Mechanical and Aerospace Engineering and Center for Statistics and Machine Learning at Princeton University, and hold an affiliation with Robotics at Princeton. My research interests lie at the intersection of deep learning, geometry and dynamical systems.

Prior to my current appointment, I was part of the inaugural class of Princeton Presidential Postdoctoral Fellows and mentored by Naomi Leonard. I completed my PhD in Computer Science and Master’s in Robotics at the University of Pennsylvania where I was supervised by Kostas Daniilidis. Prior to my graduate work, I completed Bachelor’s degrees in Mechanical Engineering and Computer Engineering at San Jose State University.

Publications

Justice Mason*, Christine Allen-Blanchette*, Nicholas Zolman, Elizabeth Davison, Naomi Ehrich Leonard, Learning to predict 3D rotational dynamics from images of a rigid body with unknown mass distribution, Aerospace 2023

Justice Mason*, Christine Allen-Blanchette*, Nicholas Zolman, Elizabeth Davison, Naomi Ehrich Leonard, Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body, KGML-AAAI 2022

Christine Allen-Blanchette, Sushant Veer, Anirudha Majumdar, Naomi Ehrich Leonard, LagNetViP: A Lagrangian Neural Network for Video Prediction, PGAI-AAAI 2020

Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis, Equivariant Multi-View Networks, ICCV 2019 (Oral)

Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis, Learning SO(3) Equivariant Representations with Spherical CNNs, ECCV 2018 (Oral)

Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou, Kostas Daniilidis, Polar Transformer Networks, ICLR 2018

Spyridon Leonardos, Christine Allen-Blanchette, Jean Gallier, The exponential map for the group of similarity transformations and applications to motion interpolation, ICRA 2015

Contact

Email: ca15 [at] princeton [dot] edu