The University of Massachusetts Amherst
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Quantiphi Joins UMass Amherst Center for Data Science as Industry Partner

Quantiphi, Inc., a Massachusetts-based artificial intelligence (AI) and machine learning (ML) software and services company, has joined the Industry Affiliates Program of the Center for Data Science (CDS). The Industry Affiliates Program (IAP) facilitates the flow of research and learning between academia and industry, by connecting data science faculty and researchers with industry professionals. IAP members can also take advantage of recruiting events where they can meet skilled data science students and graduates from the College of Information and Computer Sciences.


Asif Hasan, co-founder of QuantiphiQuantiphi, with offices in Marlborough, MA and Mumbai, India, provides AI- and ML-based solutions to business problems in industries including media, retail and fashion, insurance, and automotive. Founded in 2013, Quantiphi has a proven track record of delivering effective solutions and services to their clients, such as business analytics, prediction and forecasting models, and deep learning solutions. The focus of their work aligns strongly with CDS research areas including natural language processing and machine learning. Asif Hasan, co-founder, said “The Center for Data Science Industry Affiliates Program allows us to connect top academic research and engineering talent to real world business applications." (Pictured: Asif Hasan, Quantiphi co-founder)


The Center for Data Science is enthused to be working with Quantiphi. “Companies like Quantiphi, with their focus on and experience in data science, are a natural fit with the Center’s research areas. Quantiphi has already hired one of our graduates as a member of their team, and we look forward to working with them in the future on research collaborations and recruiting opportunities,” said Brant Cheikes, CDS executive director.



Quantiphi is a category defining Applied AI and Machine Learning software and services company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. To learn more, go to