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Former Professor & PhD Engineer — Math, Science, Engineering, TestPrep
Paul W.

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Hourly Rate: $100
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About Paul

Bio

I am a former Adjunct Professor at Stevens Institute of Technology with a Ph.D. and M.S. in Biomedical and Computer Engineering from Rutgers University. Over five years of university teaching, I built and delivered graduate-level courses across seven subject areas including engineering, software development, AI and machine learning, project management, and entrepreneurship. My students were working professionals and graduate engineers in their mid-20s to mid-40s, studying in both classroom...

I am a former Adjunct Professor at Stevens Institute of Technology with a Ph.D. and M.S. in Biomedical and Computer Engineering from Rutgers University. Over five years of university teaching, I built and delivered graduate-level courses across seven subject areas including engineering, software development, AI and machine learning, project management, and entrepreneurship. My students were working professionals and graduate engineers in their mid-20s to mid-40s, studying in both classroom and seminar formats. I also hold a PMP certification and a Supervised Machine Learning certificate from Stanford and DeepLearning.AI. Beyond the classroom, I have spent 20 years as a technical founder and CTO, which means I can connect what students are learning to why it actually matters in the real world.

Beyond university teaching, I have extensive one-on-one tutoring experience working with my own daughters through high school and into college-level coursework, covering physics, chemistry, trigonometry, pre-calculus, calculus, and biology. There is a real difference between teaching a lecture hall and sitting one-on-one with a student who is genuinely stuck — I understand both, and I know how to find the specific gap in understanding and close it without just re-explaining the same thing louder. I am also well-prepared to help students with SAT, ACT, GRE, and GMAT preparation, particularly on the math and quantitative reasoning sections.

My approach is patient and direct. I start from where the student actually is, not where the curriculum says they should be. For math and science I work through problems side by side, building intuition before formulas. Most students are not struggling with the material itself — they are missing one or two foundational pieces that, once filled in, make everything else click into place.

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Education

Johns Hopkins University
Engineering
Rutgers University
Masters
Rutgers University
PhD

Policies

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Approved Subjects

Data Analysis

Data Analysis

I have spent over 20 years working with data at every level — from writing custom machine learning algorithms in C++ during my doctoral research at Rutgers University, to building production analytics pipelines and SQL-based business intelligence systems for SMB clients, to deploying predictive models in clinical and enterprise settings. My doctoral work specifically involved designing and validating data models for medical imaging analysis, and my graduate training covered statistical modeling, signal processing, and quantitative methods across both biomedical and engineering domains. At Stevens Institute of Technology I taught data-driven decision making as part of my engineering economics and AI project management curriculum, helping graduate students understand how to structure, analyze, and interpret data in the context of real business and technical problems. Whether you are working through a course on data analysis, trying to understand regression, classification, or clustering models, learning SQL or Python for data work, or applying data modeling concepts to a capstone or professional project, I can draw on both deep academic training and years of hands-on applied experience to help you get there.
Data Science

Data Science

I earned my Ph.D. at Rutgers University doing machine learning research on medical imaging in 2004 — before ML was mainstream — and taught graduate-level data science, AI project management, and applied machine learning for five years at Stevens Institute of Technology, working hands-on with 200+ engineering students. I currently build production data science and AI systems daily in Python, SQL, and modern ML frameworks, including computer vision models, LLM pipelines, and clinical analytics dashboards. I hold Stanford/DeepLearning.AI's Supervised Machine Learning certification and was a professor in project management , and I specialize in making statistics, regression, classification, neural networks, and the full data science workflow genuinely understandable — starting with a working example and building intuition from there.
Data Structures

Data Structures

I have spent over 20 years working with data at every level — from writing custom machine learning algorithms in C++ during my doctoral research at Rutgers University, to building production analytics pipelines and SQL-based business intelligence systems for SMB clients, to deploying predictive models in clinical and enterprise settings. My doctoral work specifically involved designing and validating data models for medical imaging analysis, and my graduate training covered statistical modeling, signal processing, and quantitative methods across both biomedical and engineering domains. At Stevens Institute of Technology I taught data-driven decision making as part of my engineering economics and AI project management curriculum, helping graduate students understand how to structure, analyze, and interpret data in the context of real business and technical problems. Whether you are working through a course on data analysis, trying to understand regression, classification, or clustering models, learning SQL or Python for data work, or applying data modeling concepts to a capstone or professional project, I can draw on both deep academic training and years of hands-on applied experience to help you get there.
Machine Learning/ AI

Machine Learning/ AI

I have been working in machine learning and artificial intelligence since 2002, when my doctoral research at Rutgers University applied ML algorithms to mammography image analysis and mass detection — making me one of the earliest practitioners of applied machine learning in a clinical setting, long before the field had its current name. Since then I have built and deployed AI systems professionally for over 20 years, and today I am an active developer building production AI applications including a consumer app powered by the Anthropic Claude Vision API and a clinical dashboard integrating FHIR medical data with predictive models. From 2015 to 2020 I taught AI, machine learning, RAG pipelines, and LLM integration at the graduate level at Stevens Institute of Technology, and I have delivered technical presentations on AI business applications to professional audiences of up to 200 people. I hold a Supervised Machine Learning certificate from Stanford and DeepLearning.AI, Google Prompting Essentials, and a Claude Code certification, and I work hands-on daily with Python, large language models, and modern AI frameworks — which means I can tutor everything from foundational ML concepts and probability theory through neural networks, model fine-tuning, and applied AI development.
MBA

MBA

I taught project management at the graduate level at Stevens Institute of Technology, where I developed curriculum from scratch across multiple subject areas including project management, engineering economics, and innovation and organizational development for working engineers and technology professionals pursuing advanced degrees. My industry experience spans over 20 years of managing complex technical projects as a founder and CTO, including a six-month clinical trial deployment in China coordinated across hospitals, government health ministries, and international partners — where I was simultaneously the mechanical engineer, software architect, project manager, and negotiator. I bring both the formal methodology side of PM — Agile, Scrum, Waterfall, stakeholder management, risk frameworks — and the hard-won practical knowledge of what actually keeps projects on track when things go sideways. Whether you are working through a graduate PM course, preparing for a certification exam, or trying to apply project management frameworks to a real job situation, I can meet you where you are.
Project Management

Project Management

I taught project management at the graduate level at Stevens Institute of Technology, where I developed curriculum from scratch for working engineers and technology professionals pursuing advanced degrees. My industry experience spans over 20 years of managing complex technical projects as a founder and CTO, including a six-month clinical trial deployment in China coordinated across hospitals, government health ministries, and international partners — where I was simultaneously the mechanical engineer, software architect, project manager, and negotiator. I bring both the formal methodology side of PM — Agile, Scrum, Waterfall, stakeholder management, risk frameworks — and the hard-won practical knowledge of what actually keeps projects on track when things go sideways. Whether you are working through a graduate PM course, preparing for a certification exam, or trying to apply project management frameworks to a real job situation, I can meet you where you are.
SAT Math

SAT Math

Personally scored 780, and a long time professor and tutor.
Algebra 1
Algebra 2
Calculus
Elementary Math
Geometry
GMAT
GRE
Microsoft Excel
Prealgebra
Precalculus
Trigonometry
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Hourly Rate: $100
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