Igor Gridchyn, PhD
Senior Applied AI/ML Engineer. Production AI for pharma and biotech. Author of the first brain‑machine interface for assembly‑specific memory disruption (Neuron, 2020).
- Email[email protected]
- Phone+43 664 8834 9228
- LocationVienna, Austria
- LinkedInlinkedin.com/in/igridchyn
Summary
Experienced AI practitioner with a strong track record in industry and academia, delivering production AI solutions with $M+ impact. Co-led TetraScience's AI expansion while independently developing an end-to-end crypto trading system. Now seeking new opportunities to drive even greater impact or lead a high-performing AI team.
Highlights
- AI/ML solutions delivering $M+ value in production for pharma & biotech.
- First-of-its-kind real-time brain‑machine interface for selective memory disruption.
- Own real-time algorithmic crypto trading bot in production.
- Tabular ML, computer vision, generative AI / LLM agents, document AI.
- End-to-end experience — from C++ optimisation to architecture design.
- Explainable, grounded AI; fast adoption of state-of-the-art.
Experience
Design, implement and deploy production scientific AI / generative AI solutions for large pharma and biotech: ADMET, cell-line development, microscopy imaging, Digital QC, document AI. Built on the Tetra Scientific Data and AI Cloud.
- Pioneered the AI/ML practice at TetraScience; co-led its expansion as the company moved from data infrastructure into applied AI.
- Earlier roles at TetraScience: Senior Data Architect (2021–2023), Solution Architect & Data Engineer (2020–2021).
Group of Prof. J. Csicsvari. Data analysis and machine learning on neural recordings; scientific software development for brain‑machine interfaces and spike sorting; PhD student supervision. Stack: Python (NumPy, SciPy, scikit-learn, pandas, PyTorch), C++.
- Group of Prof. Csicsvari: designed and implemented a brain-computer interface for real-time decoding of neural signal and memory manipulation during sleep (Neuron paper).
- Group of Prof. Kolmogorov: improved the complexity of a class of discrete-optimisation problems from O(n) to O(log n) (ICCV paper).
- Collaboration with Prof. Siekhaus lab on cell-migration modelling (PLOS Biology).
- Stack: Python, C++, MATLAB, OpenCV.
Research and development of face detection and recognition algorithms, later integrated into Motorola phones. Stack: Python, C++, CI/CD, Agile.
- 2011: dNIMS — .NET interaction module enabling .NET functionality from within Scilab (C++, C#/.NET).
- 2010: Database abstraction layer for Scilab — one of the most popular Scilab toolboxes, 13 000+ downloads (C++, SQL).
Developed a visual SQL query builder. Stack: C#/.NET, SQL.
Education
Selected Publications
- Neuron · 2024 Network role of hippocampal cholecystokinin-expressing interneurons in freely moving mice
- PLOS Biology · 2022 Transcription factor Kayak enhances Drosophila macrophage invasive migration via actin regulators
- Neuron · 2020 Assembly-specific disruption of hippocampal replay leads to selective memory deficit
- eLife · 2020 Optogenetic inhibition-mediated activity-dependent modification of CA1 pyramidal – interneuron connections during behaviour
- ICCV · 2013 Potts model, parametric max-flow and k-submodular functions
Conferences & Posters
- FENS Forum, online · 2020 — Selective disruption of hippocampal map retrieval using brain‑machine interface for real-time assembly decoding and optogenetics.
- Spring Hippocampal Research Conf., Taormina · 2019 — Assembly-specific disruption of hippocampal replay leads to selective memory deficit.
- FENS Forum, Berlin · 2018 — Assembly-specific disruption of hippocampal reactivation leads to selective memory deficit.
- MMCM, Vienna · 2018 — Balancing macrophage invasion: are there "transcriptional scales"?
- Eng. Multicellular Self-Organization, EPFL Lausanne · 2017 — Drosophila transcription factors Fos and NFIL3 regulate embryonic macrophage tissue invasion.
- FENS Forum, Milan · 2014 — Hidden Markov model for the decoding of spatial features.
- BICA, Arlington VA · 2010 — A metacognitive architecture for human-like teachable agents.
Tech stack
Languages
- Englishnative / C2
- GermanB2
- Ukrainiannative
- Russiannative
Teaching
- Teaching assistant, Applied Statistics, IST Austria.
- Supervised four BSc/MSc interns at IST Austria — neural data analysis & real-time signal processing.
“Igor has a unique set of skills involving the ability to develop complex software systems, refine and invent new algorithms and computational — including machine learning — methods. His work in my lab demonstrated all these skills.”