Course Catalog

What You Can Learn

Every subject is taught with real-world context from 15+ years of industry and academic experience. Sessions are customized to your specific goals and current level.

60-minute sessions

1-on-1 via Zoom

Free intro session

AI & Machine Learning

Undergraduate to PhD1-hour sessions, recommended weekly

Comprehensive coverage of modern AI from foundational concepts to cutting-edge research. Learn from someone who has published in top venues including Radiology, The Lancet, IEEE, and SPIE.

Ideal for: Students studying AI/ML coursework, researchers exploring new methods, or professionals building AI products.

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Topics Covered

Neural Network Fundamentals (perceptrons, backpropagation, activation functions)

Convolutional Neural Networks (CNNs) for image classification and object detection

Recurrent Neural Networks (RNNs, LSTMs, GRUs) for sequence modeling

Transformer Architecture (attention mechanisms, BERT, GPT)

Large Language Models (LLMs) — fine-tuning, RAG, prompt engineering

Computer Vision (segmentation, detection, Vision Transformers)

Natural Language Processing (tokenization, embeddings, sentiment analysis)

Reinforcement Learning (Q-learning, policy gradients, multi-agent systems)

Generative AI (GANs, diffusion models, variational autoencoders)

Agentic AI Workflows (tool use, planning, multi-agent orchestration)

Data Science & Analytics

Beginner to Advanced1-hour sessions, recommended weekly

End-to-end data science from raw data to production models. Practical skills using Python, R, SQL, and cloud platforms, grounded in real industry experience.

Ideal for: Career changers entering data science, students in analytics programs, or professionals wanting to add data skills.

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Topics Covered

Python for Data Science (Pandas, NumPy, Matplotlib, Seaborn)

Exploratory Data Analysis (EDA) and data cleaning techniques

Feature Engineering and selection strategies

Supervised Learning (regression, classification, ensemble methods)

Unsupervised Learning (clustering, dimensionality reduction, PCA)

XGBoost, Random Forests, and gradient boosting methods

SQL and database querying for analytics

Data Visualization and storytelling with data

Cloud ML platforms (AWS SageMaker, Google Cloud AI, Azure ML)

MLOps and model deployment (Docker, APIs, monitoring)

Statistics & Mathematics

High School to Graduate1-hour sessions, flexible scheduling

The mathematical foundations that power AI and data science. From introductory statistics to advanced mathematical methods used in research.

Ideal for: Students struggling with math-heavy courses, researchers needing statistical rigor, or anyone building quantitative foundations.

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Topics Covered

Descriptive Statistics (mean, median, variance, distributions)

Probability Theory (Bayes' theorem, conditional probability, random variables)

Statistical Inference (hypothesis testing, confidence intervals, p-values)

Regression Analysis (linear, logistic, polynomial, regularization)

Linear Algebra (vectors, matrices, eigenvalues, SVD)

Calculus (derivatives, integrals, multivariable calculus, chain rule)

Optimization (gradient descent, convex optimization, Lagrange multipliers)

Bayesian Statistics (priors, posteriors, MCMC methods)

Time Series Analysis (ARIMA, stationarity, forecasting)

Experimental Design and A/B testing

Programming & Computer Science

Beginner to Advanced1-hour sessions, recommended weekly

Build strong programming foundations with Python and essential CS concepts. From first programs to system design and software engineering practices.

Ideal for: Beginners learning to code, students preparing for technical interviews, or professionals strengthening CS fundamentals.

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Topics Covered

Python Fundamentals (variables, control flow, functions, OOP)

Data Structures (arrays, linked lists, trees, graphs, hash maps)

Algorithms (sorting, searching, dynamic programming, greedy)

Object-Oriented Programming and design patterns

Version Control with Git and GitHub

API Development (REST, FastAPI, Flask)

Testing and debugging strategies

Software Engineering best practices

System Design fundamentals

Technical interview preparation

Research Methods & Academic Writing

Graduate & PhD1-hour sessions, project-based scheduling

Navigate the research process with guidance from someone who has published 100+ papers, holds patents, and has mentored dozens of graduate students.

Ideal for: Graduate students starting their thesis, PhD candidates preparing for defense, or early-career researchers seeking publication guidance.

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Topics Covered

Literature Review methodology and tools (Zotero, Mendeley)

Research Question formulation and hypothesis development

Experimental Design and methodology selection

Academic Writing (structure, clarity, argumentation)

Publication Strategy (journal selection, peer review process)

Conference Presentations and poster design

Grant Writing and funding proposals

Thesis/Dissertation structure and defense preparation

Research Ethics and reproducibility

Building a research portfolio and academic CV

Test Prep & Graduate Admissions

Undergraduate & Graduate1-hour sessions, intensive scheduling available

Strategic preparation for standardized tests and graduate school applications. Leverage insights from someone who has served on admissions committees.

Ideal for: Undergraduates applying to graduate school, professionals pursuing advanced degrees, or international students navigating US admissions.

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Topics Covered

GRE Quantitative Reasoning (strategies, practice, time management)

Graduate School Application strategy

Statement of Purpose writing and review

Research Statement development

CV/Resume optimization for academic applications

Interview Preparation (behavioral, technical, research presentations)

Recommendation Letter strategy

Program Selection and fit assessment

Funding and Fellowship applications

Portfolio Development for technical programs

Don't See Your Topic?

These are the most common subjects, but I can cover many more areas within STEM, engineering, and quantitative disciplines. Reach out to discuss your specific needs.

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