profile picture

Nehemie G

- Research Program Mentor

PhD candidate at Princeton University

Expertise

Various topics in chemical and materials engineering, polymer science, 2D materials, graphene, computer science, data visualization

Bio

My name is Néhémie and I am currently a graduate student at Princeton studying polymers and polymer materials (hydrogels). I got my B.S. at Columbia, and from there I have lots of past experience doing research involving 2D materials, namely graphene, and I have done quite a bit of computer programming to create softwares to run machines and data analysis using programming. My research involves involves studying the degradation of plastics and ways to enhance the properties of hydrogels for various applications, including, but not limited to, water purification and production for water-stressed regions. Currently my research comprises of developing and characterizing antibacterial hydrogels for water purification. As part of my research, I also incorporate 3D modeling and printing. Beyond research, I enjoy reading, dancing, drawing, photography, watching international films and shows, and learning languages. I love to try new things and am always open to ideas!

Project ideas

Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.

Graphene Implementation in Everyday Life

Ever since its first discovery, graphene has been touted as a wonder material. One of the strongest materials in existence, graphene has much potential for a wide variety of applications due to its superior features enabled by it being a zero band gap semiconductor. Do you think it is possible for graphene to be truly implemented in various applications based on the research where it stands? This project could either be a paper review and prediction to the future, or choosing one of the properties of graphene to study further.

Producing Polymer Colloids

Colloids are particles in a size range of 1 nm to 1 µm with a high surface area per unit mass. Colloidal particles have been used in various applications such as pharmaceuticals, catalysis, surface science, nano-composites, and printing. In spite of such a wide usage for colloids, it is challenging to continuously produce colloidal particles in a large volume. This project could seek to optimize the conditions for concentration and type of solvent to produce unimodally distributed polymer colloids.

Coding skills

python, MatLab, java, SolidWorks, AutoDesk, CAD, gcode

Languages I know

Haitian Creole (native), French (proficient), Spanish (intermediate), Chinese (intermediate)

Teaching experience

I was a part of Columbia University Teaching and Learning Center for all four of my undergrad years, where we taught high school students math, including Algebra I, Geometry, and Algebra II at three public high schools. I also was a part of Columbia University's America Reads program for 2 years, where I was a teaching assistant to first and fourth grade classes at two different public schools. For the fourth grade class I independently taught the summer school Math course. In grad school, I have been a Teaching Fellow for the Princeton University Preparatory Program (PUPP) for the past 3 years, which is a program that works with low-income, high achieving high school students in the area. Through this program I run an afterschool enrichment program at a highschool during the school year, and I have taught the Sophomore Science course for the PUPP summer institute for the past two summers.

Credentials

Work experience

Lam Research (2020 - 2020)
Data Analyst
Columbia University (2016 - 2020)
Research Assistant
Princeton University (2019 - 2019)
Summer Research Assistant
Princeton University (2020 - Current)
Graduate Student Researcher

Education

Columbia University
BS Bachelor of Science
Chemical Engineering
Princeton University
PhD Doctor of Philosophy candidate
Chemical and Biological Engineering; Materials Engineering

Interested in working with expert mentors like Nehemie?

Apply now