Bridging neuroscience and artificial intelligence to build uncertainty-aware decision systems. Currently at Multiverse Computing, working on quantum-inspired optimization and multi-agent RL systems.
ML Engineer | AI Researcher | Neuroscience Enthusiast
I'm a Machine Learning Engineer at Multiverse Computing in San Sebastian, Spain, with a passion for neuro-AI and computational neuroscience. I hold an MSc in Data Science (AI specialization) from Newcastle University with Distinction, where I was awarded a prestigious government scholarship valued at over $100,000.
My research focuses on how intelligent agents—biological or artificial—form reliable representations from incomplete or noisy sensory data. I combine generative modeling, optimization, and causal inference to study perception, communication impairments, and robust inference in complex environments.
I've developed production AI systems serving 10M+ users, published in Q1 journals (AI & Society, International Journal of Environmental Science), and was selected as one of 100 researchers worldwide for the Mediterranean ML Summer School sponsored by Google DeepMind and NeurIPS.
Exploring the intersection of neuroscience and artificial intelligence
Investigating how biological neural systems process information and applying these principles to develop more robust and efficient artificial intelligence systems.
Building computational models to understand neural information processing, perception, and how the brain forms reliable representations from noisy sensory data.
Developing decision systems that can quantify and reason about uncertainty, crucial for reliable AI deployment in healthcare, autonomous systems, and critical infrastructure.
Creating advanced generative models (GANs, Diffusion Models) for 3D medical image reconstruction, combining physics-guided approaches with vision-language models.
Studying causal relationships in complex systems to build AI that understands not just correlations but the underlying mechanisms driving observations.
Integrating sensing, computation, and decision-making for applications in health monitoring, mobility systems, and intelligent infrastructure.
Building production AI systems at scale
Contributing to AI and computational science
A physics-guided hybrid GAN–Diffusion model reconstructs 3D brain volumes from 2D X-rays, integrating vision–language guidance for interpretability and uncertainty estimation, achieving fast, accurate, and reliable low-dose volumetric imaging.
View Poster →This study investigates the transformative role of artificial intelligence (AI) technologies in modern agriculture, analyzing economic impacts and operational efficiencies gained through AI adoption.
View Paper →Applying machine learning techniques to agricultural data to improve productivity through analysis of environmental factors including soil moisture, temperature, and precipitation patterns in Turkey.
View Paper →Economic analysis investigating the complex relationships between monetary policy variables and inflation in Azerbaijan's emerging economy.
View Paper →Examining the development of digital payment infrastructure and institutional frameworks in Azerbaijan's financial sector transformation.
View Paper →Recognition for academic and research excellence
Selected as one of 100 researchers worldwide for this prestigious program sponsored by Google DeepMind, NeurIPS, and Jane Street. Includes travel scholarship and poster presentation opportunity.
Google DeepMind View Certificate →Earned Distinction at Newcastle University, awarded to top-performing graduates in the Data Science (AI specialization) program with a GPA of 3.9/4.0.
Newcastle University View Certificate →Awarded prestigious government scholarship covering full tuition, living expenses, visa fees, and travel allowances for Master's degree at Newcastle University.
2023 State Program View Certificate →Graduate Scholarship Program covering full tuition, monthly stipend, health insurance, dormitory, Turkish language training, and round-trip travel. Award Number: 21AZ003711
YTB Program View Certificate →Four-year full scholarship for Bachelor's degree at Azerbaijan State Economic University, covering tuition and living expenses based on academic excellence.
2017-2021Academic foundation in AI and economics
Advanced coursework in Deep Learning, Cloud ML Engineering, and Big Data. Conducted independent GenAI research including a hybrid GAN-Diffusion model for 3D medical image reconstruction.
GPA: 3.9/4.0 | DistinctionSpecialized courses: Artificial Intelligence in Quantitative Economics, Advanced Calculus II
GPA: 3.6/4.0Core courses: Economic Forecasting, Econometrics, Mathematics, Statistics I & II
GPA: 95.12/100Expertise in ML, AI, and data engineering
Let's collaborate on innovative AI projects
elsunnabatov@gmail.com
+34 68 252 11 10
San Sebastian, Spain
Open to collaborations & research opportunities
Publications
5+
Years Experience
4+
Users Impacted
10M+
Cost Savings
$4M+