YS

Yashil Sukurdeep

Teaching Fellow at The Johns Hopkins University

Baltimore, Maryland

Overview 

Yashil Sukurdeep is an Applied Math Researcher and PhD Candidate at The Johns Hopkins University in Baltimore, Maryland. With a background in machine learning and optimization, Yashil has conducted research in computer vision and image processing, while also gaining experience in venture capital through an internship at Emerald Development Managers LP. Highlights of Yashil's career include conducting research in applied mathematics at a prestigious institution like The Johns Hopkins University and gaining practical experience in venture capital through an internship at Emerald Development Managers LP.

Work Experience 

TJ

The Johns Hopkins University

  • Postdoctoral Fellow

    2023 - Current

  • Applied Mathematics Instructor

    2020

    Design and teach pre-college, undergraduate and graduate-level applied mathematics courses, including: • Dynamical Systems (EN.553.691) - a graduate-level course on the mathematical modeling and analysis of quantities which evolve in time, and their applications in science and engineering. • Foundational Mathematics of Artificial Intelligence (AS.110.110) - a pre-college course on the mathematical underpinnings of modern artificial intelligence technologies, co-designed and taught as part of the JHU Summer at Hopkins program. • The Mathematics of Shapes and Images (EN.500.111) - a seminar-style course on image processing and shape analysis for undergraduate students, originally conceived and taught as part of the JHU HEART program. • A Hands-On Introduction to MATLAB (EN.553.282) - an introductory programming course for students in the mathematical sciences.

  • Applied Mathematics Research Assistant

    2018 - 2023

    • Conducted research in image and shape analysis, using techniques from differential geometry, optimization, machine learning and deep learning. • Developed mathematical models, numerical algorithms and software pipelines for image processing and statistical shape analysis, leading to applications in computer vision, medical imaging and astronomy. • Resulted in several publications in leading journals (IJCV, SIAM Journal on Imaging Sciences) and conference proceedings (CVPR, AAS Meetings).

ED

Emerald Development Managers LP

  • Venture Capital Intern

    2021 - 2021

    • Performed technical diligence to evaluate core technologies and algorithms developed by startups in the tech, medical imaging, materials engineering and cybersecurity spaces. • Performed market research to assess the quality and viability of investment opportunities.

Emerald Development Managers is a venture capital firm focusing on early-stage growth equity investments.

emeraldmanagers.com
BU

Brown University

  • Undergraduate Research Assistant

    2016 - 2018

    • Conducted research in applied probability in the Division of Applied Mathematics at Brown University. • Designed and implemented Markov Chain Monte Carlo methods (parallel tempering and infinite swapping) to estimate solutions for the binary contingency tables problem.

MC

Mauritius Commercial Bank

  • Strategy, Research & Development Intern

    2015 - 2015

    • Constructed and solved econometric models used to forecast GDP growth in Mauritius; findings published in MCB Focus, 07/15. • Built a MS Excel database using VBA programming for automatically monitoring the evolution of key macroeconomic variables in the Mauritian economy.

Education 

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