I am a Swartz Foundation Fellow in Jonathan Pillow's Lab at Princeton University. As a postdoc, I have research collaboration with BRAIN CoGS and International Brain Laboratory (IBL). 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 includes using GLM-HMM to model animal behaviors and multi-region neural analysis methods.

I started my academic life with a bachelor's program in Electrical Engineering-Electronics in Iran. My bachelor's thesis “Removing noise from medical images using wavelet transform on field-programmable gate array (FPGA)” gave me an opportunity to expand my knowledge in image processing and denoising using wavelets. 

During my first Master's in Electrical Engineering, I continued my education in 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. Afterwards, I collaborated on a research project in optical communication at the University of Rome and Northumbria University at Newcastle. 

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

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