I am a graduate student in computer vision and machine learning at MIT Media Lab, where I am advised by Professor Ramesh Raskar. My research interests are in learning meaningful, robust, and interpretable representations of data (especially visual data) that enable low-resource learning. Previously, I was a software engineer in the Alexa AI group at Amazon, and, before that, a research engineer at MIT Lincoln Laboratory, where I studied machine learning and computer vision, and, in particular, their applications to medical images and human health.

I received my Bachelor of Science in Computer Science from The University of Alabama, where I worked with Prof Travis Atkison. I have also been fortunate to work with Prof Polina Golland at MIT CSAIL on quantifying severity of pulmonary edema in chest x-rays and Prof Jeff Huang at Brown University on WebGazer.

Publications
Lars Gjesteby, Tzofi Klinghoffer, Meagan Ash, Matthew Melton, Kevin Otto, Damon Lamb, Sara Burke, Laura Brattain
IEEE Symposium on Biomedical Imaging (ISBI), 2021
[ Paper ]
Tzofi Klinghoffer, Peter Morales, Young-Gyun Park, Nicholas Evans, Kwanghun Chung, Laura Brattain
CVPRW (CVMI), 2020
[ Paper ] [ Code ]
Peter Morales*, Tzofi Klinghoffer*, Seung Jae Lee
* Equal Contribution
CVPRW (NTIRE), 2019
[ Paper ] [ Code ]
Tzofi Klinghoffer, Caleb Perez, Robert Vincent, Paris Perdikaris, Chryssostomos Chryssostomidis
AMS, AI and its Applications to Environmental Sciences, 2018
[ Abstract ] [ Slides ]
Student Research Award
Honors & Awards
May 2020 — MIT Lincoln Scholars Fellowship Recipient
May 2018 — DoD SMART Fellowship Finalist
April 2016 — NOAA Ernest F. Hollings Undergraduate Scholar