Matt Landers

Masters of Science in Computer Science Student (ML Emphasis) at Johns Hopkins
LinkedIn CV

mlander5 [at] jhu [dot] edu


I am a two-time startup founder and full stack software engineer. I am currently pursuing my Master of Science in Computer Science degree from Johns Hopkins University. The focus of my studies is machine learning. My second company earned four US patents.


Johns Hopkins University, Masters of Science in Computer Science · 2021 (expected)
Indiana University, Kelley School of Business, Bachelor's of Science · 2012


Stride Consulting: Software Engineer (2017-2019)
Client: Schonfeld Strategic Advisors - Hedge Fund
Client: Magnetic - Advertising Management Platform
Client: 2U - Online Learning Management Platform
Johns Hopkins University: Course Assistant (2018-2019)
Human API: Software Engineer (2016-2017)
Stonecrysus: Co-founder & CEO (2013-2016)
Synduit: Co-founder & President (2012-2013)


A Novel Metric for Cardiovascular Health (2019 - paused due to COVID-19)
Gaps in Accelerating Digital Endpoint Development and Adoption (Currently under review)

Digital endpoints are generating considerable excitement because they permit a more authentic and objective assessment of the patient’s experience, reveal formerly untold realities of disease burden, and can cut drug discovery costs in half. However, before these benefits can be realized, effort must be applied not only to the technical creation of digital endpoints, but also to the environment that allows for their development and application. The future of digital endpoints rests on meaningful interdisciplinary collaboration, sufficient evidence that digital endpoints can realize their promise, and the development of an ecosystem in which the vast quantities of data digital endpoints generate can be analyzed.

Mitigating Bias in Classifiers with a Multi-Objective Genetic Algorithm

Languages & Technologies



us 9,317,815 - Health and fitness management system - Issued 4/19/2016

Abstract: A health and fitness management system is provided that has a health and fitness application operating, e.g., on a smart phone, that can wirelessly communicate with an activity module worn on the user which has an accelerometer. The application accepts food and weight inputs (e.g., from the smart phone) and user activity units (e.g., from the activity unit) and develops a user intrinsic metabolism. The application includes fitness arc and health quotient graphical indicators that guide the user on health and fitness activities.

us 9,317,815
us 9,183,498 - Health and fitness management system - Issued 11/10/2015
us 8,892,481 - Health and fitness management system - Issued 11/18/2014
us 8,600,928 - Health and fitness management system - Issued 12/3/2013

Site last updated: November 11, 2020