I am a researcher with a wealth of experience in machine learning, deep learning, data assimilation, analytical skills, programming, and optimization. Throughout my career, I have demonstrated a proven track record of successful collaboration with research teams and providing technical and scientific support. As a Senior AI Research Scientist, I bring extensive experience to the table. From my time as a Postdoctoral Fellow at SEAS Harvard, where I worked on deep learning surrogate models for inverse modeling of metamaterials, to my time as a Research Assistant at the UC Berkeley, where I developed optimization strategies for designing innovative mechanical cloaks, I have consistently produced impactful results.

My main focus is on the problems at the interface of Artificial Intelligence and Physical Simulations. I use the state of the art deep learning and machine learning algorithms and tools to learn, infer and predict the dynamical systems. I believe that with the exponential growth of sensory data and internet of things, data driven modeling of complex physical phenomena is critical. Some of the projects that I have been recently working on are

mentorship:

PhD:
- Rini Gladstone (Meta Reality Labs), Project: Graph Neural Networks (GNN) for physics simulation
  Output: Coauthor in a publication (in process)
- Eder Medina (Harvard University), Project: Large deformation in soft lens
  Output: Coauthor in a PRL publication
- Bolei Deng (Harvard University), Project: Transition waves in multistable links
  Output: Coauthor in a PNAS publication
- Pan Deng (Harvard University), Project: Random resistor networks and porous media
  Output: Coauthor in a PRL publication
Master:
- Pourya Pilva (Aachen, Germany), Project: Graph neural networks in solid mechanics computation
  Output: Coauthor in a conference publication
- Sven Borden (EPFL, Switzerland), Project: Bistable units in robotics locomotion
  Output: M.Sc. thesis
Undergrad:
- Peter Grenfel, Project: Swimming in low-reynolds
  Ouput: Coauthor in a PRA publication

teaching:

Harvard University

Computational Methods (Finite Elements) (ESC 228), w/ Professor Katia Bertoldi, School of Engineering and Applied Sciences, Harvard University, Spring 2021

University of California Berkeley

Programming, w/ Professor Panayiotis Papadopoulos, Department of Mechanical Engineering, UC Berkeley, Fall 2018
Numerical Methods in Partial Differential Equations (Math 228B), w/ Professor James Sethian, Department of Mathematics, UC Berkeley, Spring 2018
Multivariable Calculus, w/ Professor Denis Auroux, Department of Mathematics, UC Berkeley, Fall 2017
Physics: Heat, Electricity, and Magnetism, w/ Professor Alex Zettl, Department of Physics, UC Berkeley, Spring 2016
Linear Algebra, w/ Professor Vera Serganova, Department of Mathematics, UC Berkeley, Fall 2015

Sharif University of Technology

Analytical Mechanics I , w/ Professor Akhavan, Department of Physics, SUT, Fall 2012
Mechanics of Materials III (Advanced) , w/ Professor Noseir, Department of Mechanical Engineering, SUT, Fall 2012
Electromagnetism II , w/ Professor Bahmanabadi, Department of Physics, SUT, Spring 2012
Electromagnetism I , w/ Professor Bahmanabadi, Department of Physics, Fall 2011
Numerical Computations , w/ Dr. Sadeghian, Department of Mechanical Engineering, SUT, Spring 2011
Instructor, Preparation for National Physics Olympiad , Alborz High School, 2012, Tehran, Iran