about us
CoVis, a two-time MIT hackathon-winning solution developed in partnership with Sidebench and supported by DESY, is a decision support instrument that helps users check their risk of COVID-19 and better protect themselves and their loved ones.
CoVis combines global, local, and personal data to locally and securely calculate your risk. Smart algorithm calculations are done on your phone. Your data stays with you.
The interdisciplinary and energetic CoVis team consists of experts in healthcare, engineering, machine learning, and user experience. Most importantly, we’re generally very nice people! Learn more about us and get in touch through our contact page
Geoff Blanding
President
healthcare tech, EMR, consumer apps
Colby College, BA
VP Optimum Healthcare IT
Jon Seward
CTO
software engineer, robotics, automation
Norwich University, BS (Computer Engineering)
Nicholas Tran
Cloud Architect
cloud infrastructure design and management
Arizona State University, MS, Comp. Sc.
Ayan Paul
CEO
machine learning, AI, Bayesian inference
University of Notre Dame du Lac, PhD, Physics
Jessica Shen
UX/UI Designer
brand innovation, UX/UI design
Carnegie Mellon University,
B. Comp. Sc.
Pragati Mitra
Applied Data Scientist
machine learning, big data and predictive modeling
Vrije Universiteit Brussel, PhD, Physics
Thomas Ribeiro
CPO & Lead UX Designer
user experience design, research, IoT
Tufts MSc, human factors engineering
Chris Suharlim
Chairman of the board
primary care physician, health policy, economics,
Harvard MPH & researcher, senior advisor global health
Valeria Martínez
Marketing Lead
social media outreach, marketing strategy
Tecnológico de Monterrey, Business Admin. and Strategy
Becca Sereda
COO
molecular bio, lab research, clinical exp.
Harvard biology researcher, PhD(c) biomedical sciences
Natasha Shams
Backend Engineer
database management, API design
UC Berkeley, Bachelor in EE and Comp. Sc.
Melanie Muñoz
Marketing Producer
content design, creative strategy
UC Berkeley, Bachelor in Architecture

your privacy is important to us
and that’s why we’re doing this…
Collectively, our team has over 80 years of experience in health, technology, and security. We know how bad things can get when your data falls into the wrong hands: security breach, inappropriate targeted advertising, and identity theft.
With our sophisticated Machine Learning and Decision Support algorithm, we empower users with information on their risks and protection from COVID-19. Our platform and communication channels are HIPAA and GDPR compliant. All calculations are done on your phone using a federated model, your data stays with you.