Nicholas Johnson Earns Top Academic Spot as Valedictorian of Princeton’s Class of 2020
Style Magazine Newswire | 5/11/2020, 2:47 p.m.
Princeton Class of 2020 Valedictorian Nicholas Johnson (Photo by Lisa Festa, Princeton Center for Career Development)
Nicholas Johnson from Montreal, Canada, has been named valedictorian of Princeton’s Class of 2020, according to princeton.edu. becoming the first black person to earn that academic honor since Princeton was founded in 1746.
Princeton will hold a virtual commencement for the Class of 2020 on Sunday, May 31, 2020, in which Johnson will participate. An in-person ceremony will be held in May 2021.
To quote from princeton.edu:
Johnson said he appreciates the encouragement he has received at Princeton in developing his academic interests. The University’s support through opportunities including international internships and cultural immersion trips to Peru, Hong Kong and the United Kingdom were especially significant, Johnson said. But most of all, he treasures his relationships with his classmates.
“My favorite memories of my time at Princeton are memories of time spent with close friends and classmates engaging in stimulating discussions — often late at night — about our beliefs, the cultures and environments in which we were raised, the state of the world, and how we plan on contributing positively to it in our own unique way,” Johnson said.
Johnson plans to spend this summer interning as a hybrid quantitative researcher and software developer at the D. E. Shaw Group before beginning Ph.D. studies in operations research at the Massachusetts Institute of Technology in fall 2020.
Along with his concentration in operations research and financial engineering, he is pursuing certificates in statistics and machine learning, applied and computational mathematics, and applications of computing.
His research has focused primarily on sequential decision-making under uncertainty, optimization, and the ethical considerations that must be made given the increasing role of algorithmic decision-making systems.
His senior thesis, “Sequential Stochastic Network Structure Optimization with Applications to Addressing Canada’s Obesity Epidemic,” focuses on developing high-performance, efficient algorithms to solve a network-based optimization problem that models a community-based preventative health intervention designed to curb the prevalence of obesity in Canada.
In addition to serving as a writing fellow at Princeton’s Writing Center, Johnson is editor of Tortoise: A Journal of Writing Pedagogy. He is also a member of the Princeton chapter of Engineers Without Borders and served as its co-president in 2018.
As a rising senior, Johnson worked as a software engineer in machine learning at Google’s California headquarters.
He previously interned at Oxford University’s Integrative Computational Biology and Machine Learning Group, developing and implementing a novel optimization technique. He presented the project at Princeton’s inaugural Day of Optimization in October 2018 and at the 25th Conference of African American Researchers in the Mathematical Sciences in June 2019, where his project was recognized with the Angela E. Grant Poster Award for Best Modeling.
