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Welcome to the Quantopian Retro, a short series of interviews of Quantopian teammates, community members, and outside quants/experts. The goal of the series is to look back on Quantopian and reflect on what went right, what went wrong, and what we can learn from it all. This episode is with Thomas Wiecki, who was one of the first Quantopian employees and lead our data science efforts. Thomas is well-known among Bayesian practitioners, as well as the python community. We talk about his perspective on Quantopian, his own company PyMC Labs, what he took away from the whole experience, and what he is interested in creating in the future. If you're interested in diving into the world of quant finance with live webinars and courses from experts, as well as insightful conversation from a community of like-minded individuals, you can find all that and more in the Quantopian community: https://community.quantopian.com/home As always, if there are any topics you would like us to focus on for future videos, please comment below or send us a quick note at [email protected]. Disclaimer Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian. In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.