Mio Akasako

Co-Founder & VP of Design at Ash Wellness

Mio Akasako has a diverse work experience within the field of research and entrepreneurship. Mio co-founded Ash Wellness in 2020 and currently holds the position of Co-Founder & VP of Design. In the same year, they also became the Batch 27 Founder at 500 Startups. Prior to their entrepreneurial ventures, Mio worked at Kallyope as a Research Associate from 2016 to 2020. Mio was also self-employed as a Freelance Translator (Japanese/English) from 2013 to 2020. In their earlier career, Mio worked as a Research Specialist at Princeton Neuroscience Institute from 2014 to 2016, a Research Assistant at Brown University from 2011 to 2014, and a Research Assistant at Lawrence Berkeley National Laboratory in 2011.

Mio Akasako's education history begins in 2010, when they enrolled in Brown University. Mio pursued a Bachelor of Science (BSc) degree in Neuroscience and completed their studies in 2014. During their time at Brown University, Mio also briefly attended the Det Kongelige Danske Musikkonservatorium in 2013, focusing on Violin Performance. In the same year, they also studied at the Danish Institute of Study Abroad, specializing in Medical Practice & Policy.

After completing their bachelor's degree, Mio Akasako pursued further education at Parsons School of Design - The New School. From 2018 to 2020, they pursued a Master of Science (MS) degree in Data Visualization. Mio's education journey also included an additional master's program at Cornell Tech, where they studied from 2019 to 2020. Unfortunately, the field of study for their second master's degree is not provided in the given information.

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New York, United States

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Ash Wellness

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Ash Wellness allows organizations to offer at-home diagnostic testing to their customers and patients. They allow users to fill out an online questionnaire to order a kit, collect samples at home, and send them back where the samples are evaluated by partner labs and signed by a registered physician, enabling customers to access diagnostics withsecure infrastructure or preferred tech stack.


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