A short summary about me
A short summary about me
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I am a Computational Research Scientist at Cold Spring Harbor Laboratory working on building machine learning models to better understand the underlying computations of the brain.
Previously, I was a student researcher at Fordham University at the Keeley Lab, working at the intersection of machine learning and neuroscience. My research focused on jointly understanding the relationship between neural activity and behavior. We used deep latent variable models and Gaussian processes to develop a novel framework to understand this relationship better.
I did my undergraduate degree on integrative neuroscience with a concentration in cellular and molecular neuroscience. I completed my senior research at the ELM lab for language and multilingualism at Fordham on the effects of familial sinistrality on language processing.
I am interested in computer vision, LVMs , Gaussian processes, active learning and generative models.
Updates
Updates
March 15th, 2024: Our camera-ready paper is now available!
February 23rd, 2024: I was featured in Fordham News.
January 16th, 2024: Our paper has been accepted to ICLR 2024!
Nov 17th, 2023: I was invited to talk at FLAP MURI annual meeting.
Oct 24th, 2023: I was invited to become a member of The Honor Society of Phi Kappa Phi
Oct 5th, 2023: Our paper Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data is now available on arXiv!
Sep 3rd, 2023: I joined Cowley Lab at Cold Spring Harbor Laboratory as a Computational Research Scientist!
April 20th, 2023: My research talk was featured in Fordham News!
March 23rd, 2023: I was invited to present my research at Fordham Data Science Symposium: Doing Good with Data
March 16th, 2023: Our abstract can be viewed via this link
Feb 1st, 2023: I started working as a TA for the CISC 3820 Machine Learning course
January 21st, 2023: My abstract got accepted to COSYNE 2023!
Nov 23rd, 2022: I submitted my abstract to COSYNE 2023
Nov 10th, 2022: I presented my research at the 2nd Annual Mary Hamilton Symposium
Jul 26th, 2022: I presented my research at the NSCI 2022 Summer Students' Research Presentations
May 4th, 2022: My research was published in Fordham News
April 26th, 2022: I presented my research "Left-handedness and language: A brainwave analysis of semantic processing and familial left-handedness" at ARSNOVA
My Resume
Gondur_CV.pdfWork
Work
Sep 2023 - Present
Cowley Lab
Computational Research Scientist
Skills: Python, PyTorch, Keras, Numpy, Matplotlib, scikit-learn, Git, Latex, Active Learning, Compact Models, V4, Deep learning, Generative Models, Bayesian inference
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Jun 2022 - PresentKeeley Lab for Machine Learning at Fordham University
Research Assistant
Skills: Python, PyTorch, Numpy, Matplotlib, scikit-learn, Git, Latex, Kernel Methods, Gaussian Processes, GPFA, Deep learning, Autoencoders, Generative Models, Bayesian inference
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Winter 2023 - Spring 2023 (1 semester)Computer and Information Science Department at Fordham University
Teaching Assistant
Skills: Python, Numpy, Matplotlib, scikit-learn, Git, Latex, Jupyter Notebooks, Grading, Preparing Assignments
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Summer 2020 - Spring 2022 ; 2 yearsEEG Lab for Language and Multilingualism at Fordham University
Research Assistant
Skills: Excel, SPSS, Python, Cognitive Tests, EEG/ERP, Participant Testing
Education
Education
2018-2022
Fordham University
Neuroscience (Cum laude)
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2022-2023
Fordham University
Master's in Data Science
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2022-2023
Fordham University
Advanced Certificate in Financial Econometrics and Data Analysis
ML Resources
Pattern Recognition and Machine Learning by Christopher M. Bishop
Introduction to Applied Linear Algebra by Stephen Boyd and Lieven Vandenberghe
Google Sites
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