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Lily Goli

Ph.D. Student

About Me

I am currently a Ph.D. student in the Department of Computer Science at University of Toronto, supervised by Prof. Alec Jacobson and Prof. Andrea Tagliasacchi. I am afiliated with Vector Institute. Previously, I was lucky to have the opportunity to work with Prof. Animesh Garg. My research interests lie at the intersection of Computer Vision, Robotics and Deep Learning. Currently, I am most interested in Implicit Neural Fields and their application in 3D Computer Vision.

I believe for machines to act optimally, they need to see and percieve the world in 3D, as humans do, and my research goal is to robustify machine perception by effective and efficient use of 3D vision.


Research Experience

Intern at Technical University of Munich (TUM)

Interdisziplinäres Forschungslabor (IFL), Computer Aided Medical Procedures (CAMP)

Summer 2020 - Spring 2021
Vector I

Supervisor: Prof. Nassir Navab

My research is focused on segmentation of longitudinal chest CT scans of COVID-19 patients and prediction of clinical information.

Research Experience

Intern at University of British Columbia (UBC)

Robotics and Control Laboratory (RCL), Department of Electrical and Computer Engineering (ECE)

Summer 2019

Supervisor: Prof. Purang Abolmaesumi

I devised experiments in deep learning and reinforcement learning applications, with particular focus on ultrasound probe navigation using cardiac ultrasound images.

Research Experience

RA at Sharif University of Technology (SUT)

Image Processing Laboratory (IPL), Department of Computer Engineering (CE)

Fall 2019 - Spring 2021

Supervisor: Prof. Shohreh Kasaei

I investigated Adversarial Attacks and Defenses against Deep Neural Networks, specifically focusing on robustness against rotation and scale transformations.

Work Experience

Intern at Arsh Company

Arsh Company Sharif Innovation Center

Spring 2020

I worked on developing an age detection network using noisy labels in Pytorch framework.

I visualized and presented hundreds of processed and classified mining reports in an understandable and effective manner.


paper 2

nerf2nerf: Pairwise Registration of Neural Radiance Fields

L. Goli, D. Rebain, S. Sabour, A. Garg, A. Tagliassachi


Project Page


paper 1

Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs

L. Goli, ST. Kim, A. Khakzar, N. Navab
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021

Paper Code


paper 2

Scale Equivariant CNNs with Scale Steerable Filters

H. Naderi, L. Goli, S. Kasaei

Machine Vision and Image Processing (MVIP) 2020



paper 3

Generating Unrestricted Adversarial Examples via Three Parameter

H. Naderi, L. Goli, S. Kasaei

Under Review in Multimedia Tools and Applications 2021



University of Toronto

Ph.D. Computer Science
2021 - Present

Graduate Research Assistant in PAIR Group in Computer Science Department

research: 3D scene registration and manipulation

related coursework: Introduction to Machine Learning, Physics-based Animation


Sharif University of Technology

B.Sc. Computer Engineering
2017 - 2021

Studying Computer Engineering in Computer Engineering Department

GPA: 19.35/20 (equivalent to 4/4)

related coursework: Image Processing, Signal Processing, Artificial Intelligence, Modern Information Retrieval, Probability and Statistics, Linear Algebra, Numerical Computations, Design of Algorithms, Data Structures and Algorithms


  • Persian (Mother Tongue)
  • English:
    • TOEFL: 112
      • Reading:30
      • Listening:30
      • Writing:28
      • Speaking:24


MaRS Discovery District





Programming Languages:
Python, C, Java 100%
PyTorch, Keras 100%
Django, QT 65%
Operating Systems:
Linux, Windows 100%