Hi, I am a computational cognitive neuroscientist in training. I am currently working in the Huth Lab at UT Austin. Here you can find all my recent work.
As of Fall 2020, I will be a graduate student in the Hellen Wills Neuroscience Institute at UC Berkeley.
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Awards & Fellowships
Research Presentation Grant
Presentation grant awarded by UNH to present at the 33rd annual meeting for the International Society for Psychophysics in Japan.
Summer Undergraduate Research Fellowship
Research fellowship to cover 10 weeks of research experience in the Stine Lab.
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August, 2020 - Present
University of California at Berkeley
Graduate Student in the Hellen Wills Neuroscience Institute
University of New Hampshire
BS (Honors) in Neuroscience and Behavior
Minor in Philosophy
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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.
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Python, MatLab, & Swift programming
Keras & TensorFlow
fMRI data collection and analysis
Basic surgery techniques on rats
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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
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.