Ivan Lucart portrait

Ivan Lucart

Research Scientist • AI/ML Engineer

Interests

4+ years of experience as an engineer and researcher in deep and classical machine learning across various domains: Computer Vision, NLP, AI4Science. Interested in Neuroscience, Molecular Biology, BCI, and AI Research: Multimodal Learning, Mechanistic Interpretability, Physics-Informed Neural Networks (PINNs), Spiking Neural Networks (SNNs), Generative AI.

Currently a part‑time Research Scientist at Kurchatov Institute researching Neuromorphic Computing.

Also a part‑time Research Scientist at IBCh RAS Redox Biology Lab working on two projects: vision recovery via thermogenetics; understanding oxidative stress mechanisms contribution to Parkinson’s disease neurodegeneration.

Skills

Tools

Python, C++, R, JavaScript, Docker, Algorithms and Data Structures

ML Stack

PyTorch, Numpy, Pandas, OpenCV, scikit‑learn, SciPy, seaborn, matplotlib, Weights & Biases, SpaCy, LangChain, LangGraph, HuggingFace Transformers

Web

React (basic), Svelte, FastAPI, Flask

Databases

SQL, PostgreSQL, MongoDB; NoSQL: Firebase, Supabase

Languages

Russian (Native), English (C1, Cambridge FCE distinction), Spanish (A2)

Education

2023 – present (graduation 2027)

Bachelor in Neuroscience, Faculty of Biology and Biotechnology

  • Patch Clamp in vivo on mouse brain slices; Axoscope
  • PCR: GFP gene secretion and cloning (Clavularia spp.)
  • RNA electrophoresis, cDNA synthesis
  • OCD experiment: saliva collection, 64‑channel EEG installation and analysis
  • Cell Scratch Assay: quantify migration of U‑251 human glioblastoma line

Work Experience

SUAI Artificial Intelligence Laboratory · Saint‑Petersburg, Russia · May 2022 – Mar 2023
  • Co‑developed the “NeuroLawyer” NLP service for analyzing regulatory documents for the Ministry of Education (Svelte, Flask; ruBERT for binary classification).
  • Built a real‑time employee identity verification system for SUAI Engineering School (pretrained IResNet‑100; React front‑end).

Recommendation letter

OTS Lab Research Group & NTI Competence Center MSUGC · Moscow, Russia · Jun 2023 – Feb 2024
  • Researched deep and classical methods for ranking real‑estate objects by investment attractiveness; performed price regression on trading lots.
  • Worked with GeoJSON land‑deal data: clustering, visualization, predictive modeling; authored scientific descriptions. Built an OCR pipeline to extract features from Avito/CIAN photos.

Recommendation letter

Entangle Labs · London, UK · Feb 2024 – Feb 2025
  • Built autonomous blockchain AI agents with RAG and episodic memory to act across chains (deploy UTS tokens, add liquidity); documented in a Medium article.
  • Replaced human‑operated transmitter agents with AI agents for autonomous inter‑chain message transmission (e.g., EVM → Solana).
Kurchatov Institute, Center of Optical‑Neural Technologies · Moscow, Russia · Mar 2025 – Present
  • Implemented SNN for EEG classification with Shadow Training; applied Quantization-Aware Training and Local Weights Clustering; matched CNN accuracy while reducing energy usage by 10^3
  • Implemented a novel technique for compressing SNN models for state‑of‑the‑art deployment on neuromorphic hardware. Results reported in the research paper.
Institute of Bioorganic Chemistry (IBCh) RAS, Redox Biology Lab · Moscow, Russia · Apr 2025 – Present
  • Developing ML models to generate stimulation patterns for in‑vivo thermogenetic neuromodulation of visual cortex via hTRPV1.
  • Contributing to a project on oxidative stress mechanisms in Parkinson’s disease using a refined chemogenetic system for controlled intracellular H₂O₂ generation.
  • Designed plasmid constructs based on CAG‑GCaMP6s and CaMKII‑RFP‑p2a‑DAAOact; employed Cre‑lox for precise, cell‑type‑specific control.
Thermogenetics optical setup Chemogenetic H2O2 generation setup Thermogenetic experiment example

Research Papers

Competitive Experience

Schools, Conferences, and Courses