Executive Committee
Executive Director Takeo Hiraki Takeo found his passion for working with nonprofits while performing pro-bono consulting as an undergraduate at UC Berkeley. As a member of Berkeley's Net Impact consulting group, he experienced first-hand the wide disparity between expectations of how nonprofits are expected to use data, and the resources that are readily available to them. Takeo works as a Senior Product Manager at Teespring and previously held roles in finance and consulting. Outside of work, Takeo enjoys hiking and traveling. 
Co-Director of Educational Programs
Amanda Su Amanda is a Health Policy PhD student at Stanford University. Before Stanford, Amanda was a data scientist at Nuna Health, where she developed and implemented methods to improve patient-physician matching for Medicaid and Medicare beneficiaries. In 2017, Amanda helped create the Teaching Fellows program at Delta Analytics to widen access to machine learning education and community. |
Director of Fellowship Programs
Sean McPherson Sean is a deep learning scientist with the Intel AI Lab where his research interests include knowledge distillation and the application of deep learning to non-standard domains. He holds a PhD in Electrical Engineering from USC. Sean has been working with Delta Analytics since 2017. |
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Leadership
Director of Fellowship Experience Vicky Yeung Vicky is an economic consultant at Analysis Group, where she currently leads the firm’s Bay Area social impact program. She was previously a 2020 Data Fellow. She graduated from Stanford University with a Bachelor of Arts with Honors in Economics. In her spare time, she enjoys experimenting with coffee, traveling, and reading. |
Director of Projects Maria Ilie Maria grew up in Romania, studied Economics in Germany, lived for a few years in England while working for Microsoft, and finally moved to the Bay Area. She is a data analyst at Facebook, focusing on payments data. She started out as a Delta fellow in 2018, and is now focused on client recruitment and project scoping. |
Code Lead
Dr. Brian Spiering
Brian is passionate about teaching programming (primarily Python), Deep Learning, and Natural Language Processing (NLP). He is currently a computer science professor at the University of San Francisco. He was previously a Data Science Instructor at Galvanize. Brian is active in the San Francisco tech community through volunteering and mentoring.
Dr. Brian Spiering
Brian is passionate about teaching programming (primarily Python), Deep Learning, and Natural Language Processing (NLP). He is currently a computer science professor at the University of San Francisco. He was previously a Data Science Instructor at Galvanize. Brian is active in the San Francisco tech community through volunteering and mentoring.
Advisors
Jonathan Wang
Jonathan graduated from UC Berkeley in 2014 and started his career in economic consulting. He now works at Uber in Data Science on the Public Policy team. Through his experiences working as a pro-bono management consultant through The Berkeley Group, he developed a passion for collaborating with social sector organizations to affect greater change. This inspired the founding of Delta Analytics which bridged Jonathan's interests in data and social impact. Outside of his work with Delta Analytics, he enjoys reading, music, and fences foil.
Cecilia Cheng
Cecilia co-founded and continues to advise on the operational aspects of Delta Analytics. She has a background in economic consulting and in law. In her spare time, she travels, sings, and passively takes credit for cooking from a mix. Cecilia is a graduate of UC Berkeley and Yale Law School.
Sara Hooker
Sara has previously worked as a research scientist at Google Brain. Her research is focused on training deep neural networks that fulfill multiple criteria -- interpretable, robust, compact. She spent her childhood in Africa, growing up in South Africa, Swaziland, Mozambique, and Lesotho. In 2014, she founded Delta Analytics, a non-profit dedicated to bringing technical capacity to help non-profits across the world use machine for good.