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Professional Scientist - transdisciplinary mathematical modeling
Nathan G.

5.0 (2 ratings)

12 hours tutoring

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Hourly Rate: $60
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Response time: 6 hours

About Nathan

Bio

Looking for a tutor who can teach you coursework, and then teach you how to apply it to real-world problems? You've found one!

Bachelors in mathematics from Harvey Mudd College (it's obscure but a top program). PhD in industrial engineering from Purdue, (every university has a program where they toss the weirdos who are too applied for the applied mathematics department and at Purdue that was IE).

I can help you with any undergraduate mathematics course from precalc to stochastic...

Looking for a tutor who can teach you coursework, and then teach you how to apply it to real-world problems? You've found one!

Bachelors in mathematics from Harvey Mudd College (it's obscure but a top program). PhD in industrial engineering from Purdue, (every university has a program where they toss the weirdos who are too applied for the applied mathematics department and at Purdue that was IE).

I can help you with any undergraduate mathematics course from precalc to stochastic partial differential equations and everything in between. I've tutored high school students who went from D's and C's to A's within a month. I can also help you learn Python or R and teach you how to intelligently and rigorously analyze real-world data. If you know what GIS is I can help you with that too - people have entire careers doing GIS work manually in a GUI, and I can teach you to automate it. Got a machine learning or data science project you've wanted to try but aren't sure where to start? No problem. Haven't really played with LLM's yet, but an LLM is just a deep neural network inferring transition weights of a Markov Chain in which the latent vector space is inferred by the transformer so I can at least help you with the theory.

Looking for an undergraduate research project? Or even statistical help for your graduate work? I've got you covered.

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Education

Harvey Mudd
Mathematics
Purdue University
PhD

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Approved Subjects

Data Science

Data Science

Between my doctoral research and subsequent work, I've implemented a variety of complex statistical, stochastic, and simulation models and analyses via scalable, automated workflows via local resources, high performance computing clusters, and cloud-native abstraction layers (e.g. AWS Databricks). I specialize in model development and analysis as well as QC and due diligence as well as scaling models via algorithmic improvements over the more data engineering side of things. I also have significant experience in theory-grounded feature engineering and machine learning modeling. Comfortable with tabular, relational, and geospatial (GIS) data.
Differential Equations

Differential Equations

Introductory differential equations classes are hard because they don't really make sense. Everything you learn in them is a direct and sensible consequence of advanced theoretical math that you haven't heard of, and without all that it's just an arbitrary-looking list of tools. I can help you make sense of it. I've applied these models to fish populations, human behavior, flood simulations, evolutionary game theory, and other things. It looks hard. It is hard if you don't have the right perspective. I can give you the right perspective.
Probability

Probability

Probabilistic modeling is central to my whole professional deal. I've worked on state-of-the-art probabilistic models of compound flood risk with high-dimensional spatiotemporal stochastic processes, which is about as advanced as it gets in application. And I could explain it to your grandma.
R

R

I used R to make improvements to the best hurricane-related flood risk model in the world (it's called CLARA, believe it or not Louisiana is a global leader in that sort of thing since they got serious after Katrina and the Dutch don't get hurricanes). I used it in undergrad for my capstone where I wrote a module to fit complex differential equation models to real data. I've used it to drive large experimental designs on complex economic models. Honestly asking me about my R skills is kind of like asking a novelist about their typing skills, except I can actually talk about it and explain how it works.
Statistics

Statistics

Statistical modeling is central to my career as a professional researcher. I've worked on state-of-the-art statistical models of compound flood risk with high-dimensional spatiotemporal stochastic processes and successfully explained key principals therein to lay audiences of clients. I have experience in Bayesian inference, Monte Carlo simulation (design, inference, and optimization), time series analysis, causal inference, and a range of experiences in analysis and uncertainty quantification of complex system models whether they be physically informed stochastic simulations, reduced complexity models of physical processes, or machine learning metamodels.
Calculus
Physics
Python
SAT Math
Nathan G.'s Photo

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Hourly Rate: $60
Response time: 6 hours
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