About Velexi Corporation

 

Velexi Consulting (formerly Serendipity Research) provides scientific and engineering consulting services to a wide range of clients (from start-ups to large companies and government laboratories). Velexi Research engages in basic research on topics related to artificial intelligence, machine learning, data science, applied mathematics, and computational science and engineering.

The Velexi team consists of a group of individuals with breadth and depth of skills and experiences across many technical fields, such as applied mathematics and statistics, data science and engineering, machine learning and artificial intelligence, computational science and engineering, numerical modeling and simulation, high-performance and distributed computing, and software engineering. We are dedicated to using science, technology, engineering, and mathematics to advance our understanding of the world and work towards a better future for all of humanity.

For fun, we enjoy working on math and science problems, contributing to STEM education, tinkering with new technologies, thinking about psychology and culture ... pretty much anything piques our interest.

STEM Internship and Enrichment Opportunities

STEM skills are developed and maintained through practice. To help prepare the next generation of thinkers and problem solvers, we provide research/practicum opportunities (older students) and enrichment/exploration activities (younger students).

Core Team

 

 

 

 

 

 

Student Interns

 

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Kevin Chu

Consultant / Researcher / CEO

Kevin Chu serves in three roles at Velexi: consultant, researcher, and CEO. As a consultant, he provides both technical expertise and strategic guidance to Velexi's clients. As a researcher, he works on interdisciplinary problems that commonly involve application of mathematics and computational science to questions in science and engineering. As CEO, he is responsible for company strategy, business development, and outreach.

 

Kevin holds a BS degree in Chemistry (with minors in Physics, Mathematics, and Computer Science) from Stanford University, an MS degree in Scientific Computing and Computational Mathematics from Stanford University, and a PhD in Applied Mathematics from MIT. He did postdoctoral work in the Mechanical & Aerospace Engineering Department at Princeton University.

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Alina Chu

HR & Finance Administrator / Designer

Alina Chu serves in two roles at Velexi: Administrator and Designer. As an administrator, she manages Velexi's day-to-day operations. As a designer, she develops creative elements for all of Velexi's projects (both internal and external).

 

Alina holds a BFA degree in Visual Communications from The Illinois Institute of Art in Chicago.

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Srikar Munukutla

Velexi Research Scholar (2019, 2020)

Project: Machine Learning Approaches for Analysis of Reflectance Spectra

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Verona Teo

Velexi STEAM Practicum (2020)

Project: Financial Analysis Automation Tools for Value Investors

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Luke Bemish

Research Science Institute* (2020)

Project: Understanding and Improving Foldiak's Algorithm – A Biologically-Inspired Neural Network with Inhibition

* To help support Research Science Institute (RSI) during the COVID-19 pandemic, Velexi hosted several RSI projects remotely.

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Jackson Flowers

Research Science Institute* (2020)

Project: Understanding Sparse Datasets – Mathematical Characterization of Unions of Linear Spaces

* To help support Research Science Institute (RSI) during the COVID-19 pandemic, Velexi hosted several RSI projects remotely.

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Marvin Li

Research Science Institute* (2020)

Project: Machine Learning Driven Design of Catalysts for the Water Gas Shift Reaction

* To help support Research Science Institute (RSI) during the COVID-19 pandemic, Velexi hosted several RSI projects remotely.

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Sabrina Bonifacio

Velexi STEAM Practicum (2019)

Project: Machine Learning Applications in Python

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