I am a Postdoctoral Researcher in Joshua Glaser's lab at Northwestern University, co-advised by Lucas Pinto at the University of Chicago. I am interested in the intersection of machine learning, signal processing, and computational neuroscience to develop algorithms for analyzing neural or behavioral data. My current research focuses on applying GLM-HMM to model animal behaviors and multi-region neural analysis methods. Previously, I was a Swartz Foundation Fellow in Jonathan Pillow's lab at Princeton University, where I collaborated with BRAIN CoGS and the International Brain Laboratory (IBL). All codes related to my research are available on my GitHub page.

I got my PhD in Electrical Engineering and second Master's in Signal Processing from the University of Colorado. During my PhD program, I developed a new real-time spike sorting algorithm (GEMsort) to analyze the High-Density Microelectrode Array (HD-MEA), including Neuropixels probe data from Allen Institute. We can implement this algorithm to design a chip for a Brain-Machine Interface (BMI) to treat brain disorders such as Alzheimer's disease (see our patent for further details).

During my first Master's in Electrical Engineering, I focused on communication and wireless systems. My research was related to Multicarrier and MIMO (multiple-input and multiple-output) systems which refers to optimizing a telecommunication system using two different data encoding methods. Afterward, I collaborated on a research project in optical communication at the University of Rome and Northumbria University at Newcastle. 

Prior to my graduate studies, my academic journey began with a Bachelor's in Electrical Engineering-Electronics in Iran, where my thesis on 'Removing noise from medical images using wavelet transform on field-programmable gate array (FPGA)' expanded my knowledge in image processing and denoising using wavelets.

Outside of work, I can be found traveling, painting and playing badminton.