IDSS congratulates almost 100 grads from SES, TPP, IDPS, LIDS, and the minor in Statistics and Data Science
IDSS News June 2021
Being a student is the greatest job in the world. Grad students in particular get paid to think outside the box and pursue research that's of interest. There's no question looking at the work produced by our students every year that this experience is of incalculable value.
PhD students — like those in the IDSS Social and Engineering Systems and Statistics programs, and those affiliated with LIDS — learn to navigate in complicated fields, identify challenges, articulate problems and solve them — a process they can repeat wherever they may go, whether it's with an NGO, a startup, government or academia.
At all levels, though, from the Masters students in the Technology and Policy Program and at LIDS to the undergraduates who minored in Statistics and Data Science, our graduates have gained powerful skills that can be of use in many domains. We are proud to celebrate them and to feature a few below, and we look forward to hearing about their great accomplishments as the IDSS community continues to grow.
Munther Dahleh, Director
William A. Coolidge Professor, Electrical Engineering and Computer Science
IDSS congratulates our almost 100 grads — from SES, TPP, the Interdisciplinary Doctoral Program in Statistics, the minor in Statistics and Data Science, and students affiliated with LIDS.
A newly-minted SES and Statistics PhD affiliated with LIDS, Jinglong takes his knowledge of algorithm design and online marketplaces to his new role on the Boston University faculty in the fall.
Graduating TPP student Becca Browder (left) is taking her research on commercial spaceports to a new job at SpaceX – and has worked for years to get an MIT experiment on the moon.
LIDS student Alireza Fallah’s research characterizes the theory of optimization algorithms used in various machine learning problems.
"I chose the statistics and data science minor because the content is relevant to my future work. I will do data analysis (using Pandas or R) in my job, so it was nice to get hands-on experience."
