Passionate educator with a PhD in Physics, Neuroscience and CS

Roman B.

Data Science

I teach data science, machine learning, statistics, and scientific programming to students at all levels—from those learning Python for the first time to advanced undergraduates diving into machine learning and data analysis. I combine foundational theory (statistics, linear algebra, calculus) with practical, hands-on projects using modern tools (Python, SQL, cloud platforms). My background in neuroscience and healthcare applications means I can illustrate concepts with real-world examples from research and industry. I'm skilled at demystifying complex topics like neural networks, signal processing, and data pipelines for students who are new to the field.

Neuroscience

I teach the intersection of neuroscience, mathematics, and programming—helping students understand how to model and analyze neural systems computationally. My expertise includes neural dynamics, signal processing, data analysis for neuroscience research, and scientific programming applied to brain data (Python, MATLAB). I tutor students preparing for computational neuroscience coursework or research projects, covering topics like neural networks, information theory, statistical analysis of neural data, and biophysical modeling. I'm skilled at translating between the biological intuition and the mathematical/computational implementation—helping students understand both the neuroscience 'why' and the technical 'how.'

Thermodynamics

I teach thermodynamics across introductory and advanced levels, covering the fundamental laws of thermodynamics, heat transfer, entropy, and energy transformations. My approach emphasizes building intuition for abstract concepts—explaining why entropy increases, how heat engines work, and the practical applications of thermodynamic principles in real systems. I help students master both the conceptual foundations (first law, second law) and the mathematical problem-solving skills needed for exams and coursework. Whether you're learning basic energy conservation or tackling advanced topics like Gibbs free energy and phase transitions, I break down complex ideas into clear, understandable explanations.