Hazel Analytics pairs the largest food safety inspection database with powerful analytics tools and solutions for Fortune 500s and leading organizations in the restaurant, financial services, government, and education industries.
Our Food Safety Insights (FSI) and Facility Risk Insights (FRI) products transform diffuse and disparate local health department data into actionable intelligence using our proprietary Hazel Score methodology.
Hazel Analytics is also the proud recipient of Jack in the Box's 2016 Food Safety Innovation Award.
The Problem with Retail Food Safety Data
Across the U.S., local health departments conduct regular food safety inspections for millions of retail outlets, including restaurants, grocers, convenience stores, food trucks, and institutional cafes.
Many health departments make this inspection data available online. This is a step in the right direction, but it's not enough. The problem is that the data is not available in a standardized format or easily consumable for even basic analytical purposes.
A software platform that in near real-time collects millions of inspections from hundreds of health department jurisdictions, enabling chain food retail-operators to protect their brand and manage their compliance.
Powering our analytics capabilities, is our proprietary Hazel Score™ system. Developed and proven through years of university research, the Hazel Score enables relative comparisons of food safety and inspection compliance performance across jurisdictions. Our customers leverage insights from the Hazel Score to improve decision-making in industries ranging from food retail to financial services.
Our founding team has decades of research experience with food safety and regulatory inspections data stemming from Stanford, UCLA, and the University of Maryland College Park. Much of this research has been published in top academic journals around the world and its output has been adopted by companies and policy makers in the US and abroad. Below is a small sample of that research:
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Ben has 15 years of experience in developing and studying informational technologies. As a full
Professor of Computer Science at UMCP and the former director of the Human Computer Interaction Lab, he co-leads
the NSF-funded International Children's Digital Library founded in 2002 (ICDL - www.childrenslibrary.org), and
received the 2010 Social Impact Award for his work on ICDL and studying electronic voting machines. Ben is
currently Associate Provost of Learning Initiatives at UMD, and is also co-founder and chief scientist at Zumobi,
Inc., a startup mobile app publisher.
Ginger is a full Professor of Economics at UMCP and has done extensive research in information
disclosure and public policy. In addition to studying food safety inspection data in California and Florida, she
has examined information issues in prescription drug advertising, health insurance ratings, e-commerce and online
data usage. Most of her research involves processing, combining and analyzing big datasets from different sources.
She has testified for Maryland House Bill #951 in support of restaurant hygiene grade cards and served on a
National Academy committee on a study of food safety and other consequences of publishing establishment-specific
data (from USDA).
A proud veteran, Enming served two tours in Afghanistan as a U.S. Marine Captain. While overseas,
he led in partnering with NGOs and local Afghan officials to develop infrastructure in Southern Afghanistan. Enming
transitioned to the technology sector after earning his MBA, working in consumer electronics before joining Hazel
Analytics. At Hazel, he engages customers, develops relationships, and ensures the success of clients and
Having led the transition of Hazel Analytics from research project to sustainable commercial venture, Arash is responsible for managing the growth and day-to-day operations of the company. Previously, Arash was a founding member of StudentMentor.org, the first free online mentorship platform for U.S. college students. He also has prior experience as a management consultant with a focus on technology and risk serving Fortune 500s. He holds a B.S. in Computer Science from UCLA Engineering, and a MBA from the UCLA Anderson School of Management.
Luke joined the team as a software engineer in the summer of 2014. His programming interests include artificial intelligence, machine learning, and functional programming. He graduated from Cal Poly University, San Luis Obispo with a B.S. in Computer Science. His hobbies include traveling, snowboarding, and camping.
Richard works on the Software Engineering team at Hazel Analytics. His goal is to get food inspection reports standardized in the United States and made available online in easy to consume formats. After that he'll consider a run for president. When Richard isn't programming, he enjoys running, playing basketball, reading, and writing fiction.
Alex is on the software engineering team at Hazel. He previously worked in the Information School at the University of Washington as a research assistant, where he helped construct an intelligent tutoring system. He works mainly in web development, data mining and cloud computing. Alex also teaches Scratch programming and HTML to elementary and middle school students in after school programs across Seattle. He will be obtaining his B.S. in Informatics from UW in Spring of 2018. A fun fact about Alex is that he designed, programmed and deployed an iOS game to the app store during his sophomore year in high school.
Alex is an Assistant Professor in the School of Electrical and Computer Engineering at Purdue
University. While completing his PhD in Computer Science at the University of Maryland, he developed the
architecture that is at the core of our network of scrapers. Those innovations have allowed us to extract
inspection data from over 80 health department web sites, merging a multitude of data formats into a single,
searchable database. Alex continues to aid in steering the growth of the technology behind Hazel's services.
Gentry is on the Data Science team at Hazel and is also a PhD candidate in Economics at the University of Maryland. In addition to his traditional training in econometrics, he has expertise in machine learning and computational methods. Previously, Gentry was a full-time researcher at the University of Chicago Booth School of Business where he worked on large, high-dimensional consumer data as part of the Kilts Center for Marketing. He is passionate about common-sense interpretation of complex economic and statistical modeling, and places enormous value on good data visualization.
Zaki is on the software engineering team at Hazel. His professional interests include machine learning, data mining, and applied mathematics. Outside of work, Zaki enjoys photography, biking, music, and food. He is also currently completing his degree in Computer Science with a Specialization in Data Science at the University of Maryland, College Park.