Henry Humadi

Henry Humadi

Senior Director Of Auction Intelligence @ Liftoff Mobile

About Henry Humadi

Henry Humadi serves as the Senior Director of Auction Intelligence at Liftoff Mobile, a position he has held since 2023. He has an extensive background in data science and machine learning, with previous roles at Leanplum, Vungle, and The Data Institute.

Current Role at Liftoff Mobile

Henry Humadi serves as the Senior Director of Auction Intelligence at Liftoff Mobile, a position he has held since 2023. In this role, he is responsible for overseeing auction intelligence strategies and initiatives within the company. His expertise in data science and machine learning contributes to Liftoff Mobile's efforts in optimizing mobile marketing and advertising solutions.

Previous Experience at Liftoff Mobile

Prior to his current role, Henry Humadi worked at Liftoff Mobile as the Director of Data Science from 2021 to 2023. During his tenure, he focused on leveraging data analytics and machine learning to enhance the company's data-driven decision-making processes. His contributions helped shape the company's approach to mobile user acquisition and engagement.

Experience at Leanplum

Henry Humadi was employed at Leanplum as the Machine Learning Director for Intelligence Engagement from 2018 to 2019. In this role, he applied machine learning techniques to improve customer engagement strategies. His work contributed to the development of innovative solutions aimed at enhancing user experiences in mobile applications.

Academic Background

Henry Humadi completed his Bachelor of Engineering (B.Eng.) in Materials Science and Engineering at McMaster University from 2003 to 2008. He further pursued a Doctor of Philosophy (PhD) in Computational Materials Science and Engineering at the same institution, completing his studies from 2008 to 2013. His academic background provided a strong foundation in engineering principles and computational methods.

Advisory Role at The Data Institute

Henry Humadi served on the Advisory Board of The Data Institute at the University of San Francisco from 2016 to 2022. In this capacity, he provided insights and guidance on data science education and research initiatives. His involvement helped shape the curriculum and strategic direction of the institute.

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