I am a postdoctoral researcher in Psychology and Neuroscience at the University of Maryland, working in Caroline Charpentier’s Social Learning and Decisions Lab (SLD Lab). I am also an affiliated member of the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM), an affiliate researcher of the Neuroscience and Cognitive Science (NACS) program, and an elected Full Member of Sigma Xi, The Scientific Research Honor Society.
My work sits at the intersection of computational neuroscience, behavioral economics, and NeuroAI. I use behavioral experiments, computational modeling, and neuroimaging to study social learning, trust, belief updating, confidence calibration, and decision-making under uncertainty. Alongside empirical research, I develop and curate scientific software, reproducible workflows, and analysis templates for neuroscience and related computational research.
ReceivingNews replication package RESEARCH
Replication package for the project receivingNews (Metacognition biases information seeking in assessing ambiguous news, published in Communications Psychology). Metacognition · Preferences · Information-seeking Repository Paper |
neurodesign-plus PACKAGE
Source code for the neurodesign-plus Python package, an augmented version of neurodesign. neurodesign-plus offers a comprehensive solution to simulate HRF in various fMRI designs. Primary work: Atharv Umap; Supervision: Valentin Guigon. Neuroimaging · fMRI experimental design · Multi-objective optimization Repository Pypi package Read the docs |
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Cookicutter-neuro-research-project TOOL
Cookiecutter template for neuroscience / comp neuro research projects. Compatible with python, R and MATLAB. Reproducibility · Cookiecutter template · Repo initialization Repository |
dynamics-rsg RESEARCH
Source code for Neuromatch NeuroAI project dynamics-rsg. We compared biologically plausible learning rules (PC, RFLO) and BPTT in leaky-tahn RNNs trained on the Ready-Set-Go task, and evaluated them against macaque behavior and MPFC activity (DANDI 000130). NeuroAI · Recurrent networks · Neural dynamics · Interval timing Repository |
Personal website TOOL
Personal website. Built with a Jekyll::alshedivat base, tailored for personal uses. Repository |
March Madness 2026 EXPERIMENT
March Madness 2026 forecast repo built as a tightly supervised AI-assisted workflow for bracket generation, live tournament tracking, and public analytical reporting on personal website. Repository |
SUPLEX-agentic-workflow TOOL
SUPLEX (supervised pipeline with layered execution) is a lightweight governance layer for AI-assisted repository work. It installs a supervision-execution split, bounded-task discipline, handoff structure, and provenance tracking into any existing repository without modifying host architecture. Agentic workflows · AI governance · Reproducibility Repository Substack post |
AI-research-feedback TOOL
A collection of Claude Code / Codex skills for academic research review, forked from Claes Bäckman, adapted for psyc/neuro. Includes parallel-agent commands for full referee-style paper review, quick pre-submission checks, paper-code reproducibility audits, pre-analysis plan review, and grant proposal review. Claude Code · Paper review Repository |
SPM_fMRI_pipeline_template TEMPLATES
Pipeline for SPM fMRI: Artefact removal, Preprocessing, First level, Second level, MRIcroGL. SPM fMRI · Preprocessing · Processing · Visualization Repository |
Py_fMRI_pipeline_template TEMPLATES
fMRI analysis pipeline for Py (Fitlins, Nilearn). Py fMRI · Processing · WIP Repository |
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Mixed_LM_templates TEMPLATES
R, BRMS & JAGS templates + boilerplates for MLM/Bayes-MLM, Power simulations, and Mediation analyses. R · Bayesian hypothesis testing · Mixed NHST Repository |
NLP_templates TEMPLATES
Templates & demos for NLP (pipelines, fine tuning, tokenizers, inference). Primarily thought for running on Colab, built with HF. HuggingFace · NLP · training Repository |
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sentiment_analysis_templates TEMPLATES
Sentiment analysis methods: by hand, ntlk_VADER, and Roberta. Repository |