Welcome to my homepage,
I am Ali Khaledi, Ph.D., a physicist and neuroscientist by training as well as a data scientist and AI researcher by practice
Welcome to my personal and professional journey! I'm originally from Iran and moved to the US in 2014 to pursue my PhD. Since then, I've considered the US my home, and I'm currently based in the San Francisco Bay Area.
After completing my Ph.D. at Ohio University, I had the opportunity to conduct postdoctoral research at Stanford University School of Medicine's Department of Neurosurgery. You can learn more about my work in the research summary section. Following my time at Stanford, I joined CODA Biotherapeutics, a gene therapy startup focused on developing treatments for epilepsy. CODA raised around $70 million but needed an additional $100 million to advance its research to the clinical stage. Unfortunately, due to unfavorable microeconomic conditions in 2022, CODA was unable to secure the necessary funding and had to close its doors. This turn of events led me to an exciting new role as a research scientist at Amazon Web Services (AWS).
My background is in theoretical and computational physics, with expertise in nonlinear dynamics, stochastic processes, signal processing, statistics, biophysics, and network sciences. Recently, I've become increasingly interested in data science and machine learning, applying these tools to a wide range of scientific problems. I'm passionate about using my computational skills and neuroscience knowledge to shape the future, create innovative products, and deepen our understanding.
I believe in continuous learning and strive to develop new hard and soft skills daily. My routine includes two dedicated hours for learning every day: one hour for reading books and the other for taking courses. One aspect of Amazon that resonates with me is its commitment to learning. "Learn and Be Curious" is one of the company's core leadership principles, established by Jeff Bezos himself. I admire Jeff's unique approach to problem-solving, which is deeply ingrained in Amazon's DNA. I look forward to growing with Amazon and contributing to its ongoing success.
Last update: 04/2023
- A Chinese media interviewed me and wrote about this piece in Science magazine: 为了读博，我差点卖掉一个肾
March 2023: My Sci rep paper became among the top 100 papers in neuroscience "Dynamics of phase oscillator networks with synaptic weight and structural plasticity"
March 2023: Published a piece in Science Magazine with the printed title "Priced out of Science", and online title "I almost sold a kidney to pursue my PhD" In this piece reflecting on my own difficulties paying for graduate school application fees, and identifying this as an ongoing issue excluding students from less wealthy nations. I got many replies where people told me their versions of going to extremes to get an education.
March 2023: Started modelling the dynamics of plastic Network-Network interactions
Feb 2023: The Encyclopedia of Child and Adolescent Health, went online
Oct 2022: I joined Amazon as a research scientist in the AWS network capacity team.
Oct 2022: Finished editing the Brain development section of the Encyclopedia of Child and Adolescent Health, the full book becomes available in early 2023
Sept 2022: A new paper got published in Scientific Reports. "Dynamics of phase oscillator networks with synaptic weight and structural plasticity"
June 2022: A new paper got published in Scientific Reports. This is my first paper as a senior author "Depolarization of echo chambers by random dynamical nudge"
April 2022: A new paper got published in the journal "Frontiers in network physiology" Long-lasting desynchronization of plastic neuronal networks by double-random coordinated reset stimulation
March 2022: I got admitted as a Research scholar at Ronin institute Link to my page at Ronin Institute