Team
We help public institutions know whether the science and technologies they rely on are actually working — and whether they are working soundly.
Will is the founder of Tech Integrity Lab. His 2014 PhD, advised by Melanie Mitchell, was an early contribution to the science of machine learning interpretability. As a data scientist, machine learning engineer, and technical lead at tech companies like Twitter, Lyft, Stripe, and Nextdoor, he specialized in finding the subtle and often unintentional ways that algorithms and their evaluations can mislead users. His work includes the measurement and remediation of misbehaving or misaligned algorithmic systems through both technical and policy decisions. He is a member of the IEEE AI Policy Committee.
Will Landecker
FounderTiana Davis Kara is a culture architect and change leader who helps organizations turn values into daily practice. She most recently led global Culture & Engagement at Nextdoor, where she built scalable programs and systems that strengthened alignment, community, and measurable belonging through periods of significant change. Before Nextdoor, Tiana served as Executive Director of BUILT BY GIRLS and led partnerships at Black Girls CODE, building pathways for young women and non-binary students into tech.
Tiana Kara
Executive DirectorJoey specializes in litigating the scientific reliability and admissibility of forensic evidence. He served 11 years as a leading member of the Forensic Science Division of the Cook County Public Defender’s Office, working on the office’s most complex cases. Then he co-founded Factor Space Forensics to support public and private firms with specialized forensic expert consultation and litigation services. Joey continues to lecture nationwide and serves on standard-setting scientific bodies for OSAC, under the NIST umbrella.
Joseph Cavise
Legal DirectorLennon is an expert in code analysis, information security, cloud operations, and regulatory compliance. He previously worked as an engineer and manager at Intel, Sun Microsystems, Twitter, Urban Airship, Stripe, and HashiCorp, in addition to founding multiple companies and a local chamber of commerce. His focus throughout his career has been creating secure, scalable tools and computing environments for engineering and data science teams.
Lennon Day-Reynolds
CTOSara Staszak is a data scientist with a passion for public policy, experiment design, and statistics. As a researcher at MDRC, she measured policy and intervention effects in programs that spanned criminal justice and education systems. Sara was a data scientist at the law firm Seyfarth Shaw, where she applied a range of statistical tools from causal inference to visualization and quantitative analytics before leading data science efforts on the experimentation platform at Nextdoor.
Sara Staszak
Data ScientistJesse helps professional audiences understand complex technology, with extensive experience in privacy, security, and policy messaging. Following a decade at Google, he has worked at several startups and agencies as a product and content marketer.
Jesse Friedman
Communications DirectorSugin bridges advanced statistical theory with practical application, including AI-first measurement systems and causal inference. He holds a Master of Engineering degree from UC Berkeley, and his corporate experience includes PwC, SAP, Nextdoor, and CashApp.
Sugin Lou
Data Scientist