Who am I?

It’s a tough question, but maybe I can tell you a little about myself. I’m a computational scientist interested in discovering the simple laws that animate our complex universe using artificial — and sometimes natural — intelligence. I’m currently a postdoc at the University of Washington, working with Steven Brunton and Nathan Kutz. I work on data-driven modeling and simulation of nonlinear multi-scale dynamical systems that exhibit chaos and self-organization like complex fluids and granular materials. I’m broadly interested in understanding and recreating intelligence, whether in machines or in living organisms. Check out my papers if you’re into that. I like to question assumptions, reimagine reality, and describe it with equations. The world is a playground and I have the curiosity of a child.

What I do

Ultimately, I don’t know who “I” am… It’s strange, but fascinating at the same time. Maybe I can find some answers here and there, hidden in the code of the universe. How about

Discovering the laws of nature

I am interested in unraveling the mechanics of the world and creating intelligent systems that do the understanding for me. In this pursuit, I’ve worked on projects such as modeling and simulation of granular materials, computational methods for multi-scale multi-physics systems, machine learning methods for discovering partial differential equations, social modeling, designing and building a glove musical instrument, and others. Again, the world is a playground…

Questioning assumptions

I like to stand at the boundary of knowledge, gaze into the unknown and question long-held assumptions. I have more questions than answers and would like to keep it that way. I’m not afraid of the big questions about life and death, science and religion, determinism and randomness, society and identity, brains and machines, intelligence and consciousness, happiness and purpose. I’m driven by the thrill to explore new worlds of ideas in search of deeper truths. What’s the point?.. That’s a good question.

Creating harmonies

I’m a classical pianist and composer by training. I’ve played some concerts and participated in a few competitions. I like complex harmonies in classical and Jazz, but I’m always looking for new sounds that have something to say. I like to combine my passion for music with that for science and technology. I also have some compositions and improvs on soundcloud… Check them out!

What I did

Or maybe you just want to see how I got here…

 

 

Current

Postdoctoral fellow ㅡ University of Washington (since 2020)

Topics: Deep learning methods for physics-constrained learning, sparse identification of nonlinear dynamical systems, time-delay embedding, chaotic systems, data-driven coarse-graining, Buckingham Pi theorem.

 

Education

Ph.D., Complex Materials ㅡ Stanford University (2017 – 2020)
Department of Energy Resources Engineering
Thesis: Stochastic Multiscale Modeling of Complex Materials

M.S./Ph.D., Fluid Dynamics ㅡ University of California San Diego (2013 – 2016)
Department of Mechanical and Aerospace Engineering

B.Eng., Mechanical Engineering ㅡ American University of Beirut (2009 – 2013)
Faculty of Engineering and Architecture

B.A., Classical Piano ㅡ Lebanese National Higher Conservatory of Music (2003 – 2013)

 

Awards

Henry J. Ramey, Jr. Fellowship Award (Outstanding Research) – Stanford, 2020

Frank G. Miller Fellowship Award (High Academic Achievement) – Stanford, 2018

Best Presentation Award (LANL poster session) – Los Alamos, 2014