Welcome to my website! My name is Hugh Easton, and I'm a researcher currently based out of Cambridge, MA.

As a student of mathematics and computer science, I devoted my time to developing broad skills in prediction and modeling because those abilities can apply to any domain out there today. My work inside and outside of my studies has involved everything from Machine Learning to Probability and Math Modeling. The main topics I have worked on in the science of prediction have been:

  • Climate Science
  • Neuroscience
  • Fluid Dynamics
  • Healthcare
  • Language Acquisition
  • And much more...

Experience
Industrial Economics, Incorporated
Jun. 2023 - Present
Research Analyst - Senior Research Analyst
I currently work as a Research Analyst at Industrial Economics Incorporated (IEc). IEc is an environmental consulting firm specializing in areas like Public Policy Analysis, Applied Economics, and Sustainability. At IEc, I have worked with clients at the World Bank Group, the FDA Center for Tobacco Products, the EPA, Health Canada, and others.

World Bank CCDRs
The World Bank produces Country Climate and Development Reports (CCDRs) to diagnose the impacts of climate change on development in countries across the globe. At IEc, we help with the creation of these reports by working with biophysical models, that turn changes in climate to variations in economic variables. Some of the models I have worked on this space include the change in heat effect on labor productivity, water availability, infrastructure damage and maintenance, disease incidence and more.
For a more detailed look at the methodology behind the work we do at the World Bank, this paper. written by my colleagues at IEc and our World Bank counterparts, provides an overview of several of the main ways we estimate the macroeconomic shocks from climate change.

Tobacco Regulation
During my time at IEc, I have worked for a variety of different projects on modeling the regulatory and human health costs of tobacco regulation. This included helping to build a regulatory tobacco cost model for the Center for Tobacco Products and working on a human health cost model for Health Canada.

US EPA - FrEDI
Part of my work at IEc involved maintanence on the open source R package, The Framework for Environmental Damages (FrEDI). FrEDI is an R package that is able to take in as input temperature or emissions, trajectories and generate a timeseries of estimated physical and monetary impacts within the United States. FrEDI is a large long-standing project that I took a very small part in and draws from over 30 peer-reviewed studies for the damage functions it uses to come up with these estimations.

Middlebury College
Fall 2019 - Spring 2023

Oratory Now - Oratory Coach
Feb. 2021 - Jan. 2023
During my time at Middlebury College, I worked as a public speaking coach with the group Oratory Now. As a head coach, I coordinated teams of around 3-5 fellow students and a professor to lead public speaking workshops with the professor's class. Under Oratory Now, I was a Co-executive producer of the 2021 Parker Merrill Speech Competition, and counseled students individually to prepare for speeches, debates, and presentations.

Middlebury College Center for Teaching Learning and Research (CTLR) - Calculus Tutor
Sep. 2022 - May 2023
During my Senior year at Middlebury, I worked as a Calculus tutor for both Calc I and II classes through the Middlebury Center for Teaching Learning and Research. This entailed meeting with around 2-4 students each week for individual tutoring, and leading a drop-in teaching in Calc II session for around a dozen students once a week.

Middlebury College Department of Earth and Climate Sciences - Research Assistant
Feb. - Oct. 2022
I worked as a research assistant under Professor Allison Jacobel working on a Neural Network for Predicting Sea-Surface Temperature during the Last Glacial Maximum. Training on a modern dataset of foraminifera skeletons (Forams) from the ocean floor and corresponding sea-surface temperatures (SSTs), that was previously labeled outdated for prediction, we used Commercial Neural Network Generating software to create a model for predicting Sea-Surface temperatures based on work done by Kucera et al. (2005). After using the software which abstracted away much of the network architecture, I coded my own Deep Neural Network using PyTorch, and the same data with remote access to Middlebury's high-performance computing cluster. Work on this project also involved using Excel to clean normalize and merge the Foram and SST data, R to merge, clean and visualize the final predictions for the Last Glacial Maximum Predictions, and matplotlib for visualizing the entire process.
Python work on this project can be found here.

Middlebury College Department of Mathematics - Research Assistant
May - Aug. 2021
I worked under Professor Michaela Kubacki in research for Machine Learning techniques in Computational Fluid Dynamics. In particular, I worked with a team of two other students to create a Convolutional Neural Network (CNN) for predicting the pressure and velocity fields around a two-dimensional obstacle in a channel of fluid flow given a 2-D image of the obstacle's shape. After completing that network, I worked by myself under the same professor to create another CNN, this time for predicting the drag coefficient of a 2-D obstacle in a channel given an image of that obstacle.
The Flow Field CNN we worked on in MATLAB can be found here, and the Drag CNN can be found here.

Middlebury College Department of Computer Science - Remote Grader
Feb. - May 2021
I graded homework for two CS 301 (Theory of Computation) classes at Middlebury. My work consisted of marking up around 15 homeworks per week that students had submitted in topics from models of computation (finite automata, push-down automata, and Turing machines) to deterministic versus non-deterministic computation, and a theoretical basis for the study of NP-completeness.

Middlebury College Activities Board - Student Technical Assistant
Feb. - May 2021
I worked setting up and running lighting and sound for Middlebury concerts and shows. My work included experience with stage lighting and soundboards, including AUX, XLR, MIDI, TS and TRS audio systems.

Middlebury College Disabilities Resource Center - Student Lecture Secretary
Feb. - May 2020
I was tasked with taking detailed notes for students who needed accommodation in two Computer Science classes.

Other Work
Emerson Green/NOW Communities LLC - Construction Assistant
Apr. - Aug. 2020
I worked on the housing development Emerson Green in Devens, Massachusetts during the summer of 2020. I worked under a general contractor coordinating between and helping them and the sub-contractors execute various tasks. My role included instituting COVID-19 safety policies on the site. Since I was working under various sub-contractors, each with a different trade, this experience made me efficient at absorbing exactly what I needed to do from experts in all sorts of fields.

Concord Academy Summer Camp - Camp Counselor
Jun. - Aug. 2019
Before starting classes at Middlebury, I worked as a day camp counselor for the local summer camp in town. Skills I have taken away from this experience are dealing with high-stress situations and coordinating with a wide variety of staff, from administrators to fellow counselors and healthcare workers.

Dunkin Donuts - Cashier/Server
Aug. 2017 - Sep. 2018
During high school, I worked at my local Dunkin Donuts. Dunkin taught me stamina, the importance of being efficient and prompt with my work, and to prioritize and execute seemingly endless lists of tasks.