Technology and operations should match; the technical and the conceptual, together as one.
It’s time for privacy and security to move beyond box-ticking compliance exercises as an afterthought and towards intentional considerations that are embedded in the foundations of projects, teams, and organizations.
If we want to change the landscape of privacy and technology, we must prioritize pragmatic, actionable steps that achieve our vision of the future.
We believe that if you build the right foundation, everything you do after becomes faster and more efficient. By building in privacy, security and data governance into every process from the onset, innovation becomes far easier.
A fundamental goal of his work is to create devices and services that are
simple, secure and
respectful of people's sense of privacy. Nathan has provided research to Fortune 100 firms
has co-developed technologies and performed research for products that have grown to
Nathan is also a lecturer at the UC Berkeley School of Information, teaching courses in data science, ethics and network security. He has given testimony on his research before Congress, FTC, and his work and research has been covered in the New York Times, San Francisco Chronicle, ABC and CNN.
Dr. Maritza Johnson aims to make it easier for people to enjoy technological advancements
while worrying less about security and privacy. She’s an expert on human-centered security
and privacy. Through her work she shapes how organizations design and deploy data systems.
Teams bring her in to talk about user experience but the work inevitably goes much deeper
than they expect.
Maritza is also the inaugural director of a new center for data science, AI, and society at the University of San Diego. Her industry experience includes working as a user experience researcher on identity, security, and privacy at Google, and as a technical privacy manager at Facebook. In 2018, she co-created a usable privacy and security course for UC Berkeley's Master of Information and Cybersecurity program. She completed her PhD at Columbia University and wrote her dissertation on end-user access control, including researching whether people can correctly manage their Facebook privacy settings. In a few words, it’s complicated.
Jennifer is a graduate of UC Berkeley's MIMS program (Masters in
with a focus on UX research, as well as research overall. Before entering Berkeley, she
in Studio Art and worked as a QA engineer before that all went all the window; one thing led
another and she eventually discovered the field of informatics and subsequently, data
Currently, she is looking to apply those skills into project management.
When not running studies or combing through interviews, she enjoys gaming and watching that one anime every season, while trying to appease the cat.
Will’s research focuses on privacy, fairness, and model accountability by
applying data science,
ethnography, and UX research methods. Will believes that to use data efficiently we must
in control structures to help us make well-informed decisions around the value and risks.
enjoys serving as a consultant on several legal and regulatory organizations where he helps
bridge the gap between technology and policy.
Prior to Good Research, Will worked in the financial industry focusing on the risks of using models and data, where he also led teams developing standard tools for model developers and reviewers to use for data analysis and information management.
Cassia is a UX Designer at Good Research. She is fascinated by the "Why?"
behind human behavior
and believes that when good design truly empathizes with and advocates for people's
motivations, and desires, people are empowered to achieve great things.
Before coming to Good Research, Cassia worked as an educator teaching kids to code and as a visual designer at an applied research lab that focuses on solving interdisciplinary problems through media arts, design, and computer science methodologies. Cassia holds a B.A. in Computer Science and a B.A. in Studio Art from UC Santa Cruz.
Graydon leads client engagement and helps to shape the branding, solutions, and offerings at Good Research.
He has spent 10 years helping organizations creatively use technology to improve customer experience and business efficiency. Prior to Good Research, he has spent time working for innovative companies in digital product design and development, digital transformation SaaS, and cyber security strategy.
Hae Young Kim is a software engineer and researcher at Good Research. She
focuses on digital
forensics and privacy.
Hae Young has a Bachelors in Science from the University of Minnesota, Twin Cities with a focus in numerical analysis and computer graphics. She has a varied career history that includes computer games, web application development, and biostatistics. In her spare time, she cares for two dogs, fosters dogs from a rescue, gardens, and mentors high school robotics for FRC team 3926.