Mohinish Shukla is a data-driven cognitive neuroscientist and lecturer with eight years of applied research and teaching experience, currently based at the University of Amsterdam. He blends wet-lab molecular genetics, infant and adult eye-tracking, and neuroimaging expertise with strong programming and ML skills (MATLAB, Python, NLP, signal processing) to design creative data-gathering paradigms and extract concise, actionable insights. His career spans academia and industry—leading an infant cognition lab, consulting on neurodegenerative therapy analytics, and building a semantics-driven recommendation engine during a data science fellowship. An experienced science communicator and editor, he also contributes science and technology writing while mentoring students in interdisciplinary methods that bridge language, perception, and computation. Notably, he routinely integrates bespoke analytic toolchains (from Praat to keras) to push experimental methods rather than rely on off-the-shelf solutions.
8 years of coding experience
10 years of employment as a software developer
M.S. Biological sciences, M.S. Biological sciences at Indian Institute of Science (IISc)
Bachelor of Science (B.Sc.) Microbiology General, Bachelor of Science (B.Sc.) Microbiology General at Garware College
Post doctoral fellow Cognitive Neuroscience, Post doctoral fellow Cognitive Neuroscience at University of Rochester
Ph.D. Cognitive neuroscience, Ph.D. Cognitive neuroscience at SISSA
manybabies3 - replication of Marcus, Vijayan, Bandi Rao, & Vishton, 1999: Rule learning by seven-month-old infants.
Contributions:15 commits, 9 pushes, 1 branch in 1 month
rule-learningrulelearning-bymonthreplication
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