Adam Boncz
AI Research Engineer at BlackRock
Budapest, Hungary
Summary
👤
Senior🎓
Top SchoolAdam Boncz is an AI research engineer and neuroscientist with 8 years of experience turning large, multimodal human-interaction datasets into reproducible analyses and deployable ML models. He has designed and run complex data collection across EEG, MRI/fMRI, audio, video, motion capture and eye-tracking— including a rare dual-MRI setup spanning sites nearly 100 miles apart—while building cloud-enabled pipelines for cleansing, synchronization and storage. Proficient in Python, Matlab, R, SQL and PyTorch, he applies ASR and large language models alongside neural-network and multivariate statistical methods to extract behavioral and neural signatures from speech and text. At BlackRock and prior research roles he has scaled speech analysis with wav2vec/huggingface toolchains and trained EEG-based classifiers for high-dimensional prediction tasks. Adam combines hands-on engineering (Bash, Google Cloud, Jupyter) with mentorship experience supervising MSc/PhD students, and a background in clinical psychology that informs robust experimental design and participant-facing workflows. Based in Budapest, he blends rigorous cognitive-science training with production-focused AI research to bridge neuroscience and applied speech/NLP.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Science, GPA 3.62; Defended with Honors, Doctor of Philosophy - PhD, Cognitive Science, GPA 3.62; Defended with Honors at Central European UniversityMaster's degree, Psychology, Master's degree, Psychology at Eötvös Loránd Tudományegyetem
English, German, Hungarian
Github Skills (13)
network-visualization7
discovery7
matlab6
gnu6
network-analysis6
octave6
toolbox5
electrophysiology5
neuroscience4
python4
testing3
scientific-computing3
perception2
Programming languages (2)
Github contributions (5)
dharmatarha/eeg_network_pipeline
Feb 2020 - Mar 2022
Functions for network discovery and comparison in EEG data.
Contributions:353 commits, 2 PRs, 275 pushes in 2 years 1 month
comparisonnetwork-visualizationdiscoveryeegnetwork-discovery
dharmatarha/SFG_aging_study
Jan 2020 - Feb 2024
Testing aging deficits in auditory object perception
Contributions:1 release, 20 PRs, 134 pushes in 4 years 1 month
testingperceptionauditoryaging
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