Hi, I am a computational cognitive neuroscientist in training. As of Fall 2020, I am a graduate student in the Hellen Wills Neuroscience Institute at UC Berkeley.Here you can find all my recent work.
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Education
August, 2020 - Present
University of California at Berkeley
Graduate Student in the Hellen Wills Neuroscience Institute
June, 2018
University of New Hampshire
BS (Honors) in Neuroscience and Behavior
Minor in Philosophy
( 02 )
Research Labs
June, 2018 - August, 2020
Research Assistant - Huth Lab
During my time in the Huth lab, I was responsible for all fMRI data collection and preprocessing. Additionally, I led various projects including studying language processing in early blind individuals and studying the contribution of the cerebellum to language processing.
January, 2017 - June, 2018
Undergraduate Research Assistant - Charntikov Lab
In this lab I assisted on a series of projects using operant conditioning to study addiction in a rat model.
September, 2014 - June, 2018
Undergraduate Research Assistant - Stine Lab
In this lab I used psychophysical techniques to study motion induced blindness.
( 03 )
Awards & Fellowships
October, 2017
Research Presentation Grant
Presentation grant awarded by UNH to present at the 33rd annual meeting for the International Society for Psychophysics in Japan.
May, 2017
Summer Undergraduate Research Fellowship
Research fellowship to cover 10 weeks of research experience in the Stine Lab.
September, 2014-2018
Dean's Scholarship
( 04 )
Skills
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Python, MatLab, & Swift programming
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Keras & TensorFlow
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fMRI data collection and analysis
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Psychophysical techniques
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Basic surgery techniques on rats
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Solution Preparation
( 05 )
Preprints & Papers
Jain, S., Vo, V., Mahto, S., LeBel, A., Turek, J.S., Huth,
A.G. (2020). Interpretable multi-scale models for prediciting fMRI responses to continuous natural
speech. Advances in Neural Information Processing Systems 34 {NeurIPS}. {link}
LeBel, A., Jain, S., Huth, A. G. (2021). Voxelwise
encoding models show that cerebellar language
representations are highly conceptual. {link}
( 06 )
Conferences & Abstracts
LeBel, A., Jain, S., Huth, A. (October, 2019) Voxelwise encoding models of the cerebellum during natural speech processing presented at the Society for Neuroscience 2019.
Xu, L., LeBel, A., Huth, A. (October, 2019) Sparse experimental design for encoding models presented by LX at Society for Neuroscience 2019.
Jain, S., LeBel, A., Huth, A. (October, 2019) Improving language encoding for fMRI with transformers presented by SJ at Society for Neuroscience 2019.
Tang, J., LeBel, A., Huth, A. (October, 2019) Visually grounded language encodig models for fMRI
highlight the influence of sensory experience on semantic representations presented by JT at Society for Neuroscience 2019.
Griffith, I. M., LeBel, A., Jain, S., Huth, A., Liberty, L.S. (October, 2019) Phonological feature and pitch classification with a branched convolutional neural network presented by IMG at Society for
Neuroscience 2019.
LeBel, A. & Stine, W. (2017) Reducing Between Subject Variation in Motion-Induced Blindness Using the Method of Constant Stimuli presented at the 33rd Annual Meeting of the International Society for Psychophysics in Fukuoka, Japan.