The Ensemble Podcast, by CrunchDAO

Crunch Foundation

From Chaos Theory, through mathematical and Crowdsourced research, the Ensemble Podcast addresses the scientific issues related to Decentralize Artificial Intelligence With its transparent and decentralised nature, Crunch Foundation is at the forefront of social innovation and redefining the future of work for data scientists around the world. Hosted by Ausha. See ausha.co/privacy-policy for more information. read less
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Episodes

Occupation: Trader with Jerome Bousquet
Mar 26 2024
Occupation: Trader with Jerome Bousquet
Our Guest: Jerôme BousquetWith over 20 years navigating the dynamic world of macro exotics, Jerome has carved a niche as a leading expert in Hybrid Options trading. Currently, he heads a dedicated team at JP Morgan Chase, based in both London and Paris. His passion lies in crafting and meticulously managing complex hybrid options, instruments that ingeniously combine two or more macro assets like currencies, interest rates, equities, and precious metals.Jerome's journey began in 2002 with the esteemed Man Group, where he honed his analytical and execution skills within a CTA hedge fund environment. This strong foundation propelled him to ABN AMRO, where he delved into the intricacies of EUR rate exotics trading, followed by a stint at Nomura, where he mastered the art of USD rate exotics.Today, at JP Morgan Chase, Jerome spearheads a team of four traders, responsible for quoting Hybrid Options to both real money and fast money accounts within the bank's franchise clientele. His expertise extends beyond mere quoting, encompassing the meticulous risk management of these instruments until their expiry. This requires a deep understanding of the complex dynamics at play within various macro asset classes, coupled with the ability to anticipate and mitigate potential risks.Jerome's extensive experience, combined with his leadership skills and in-depth knowledge of the Hybrid Options landscape, make him a valuable asset to JP Morgan Chase and a respected figure within the wider financial industry. His ability to navigate the ever-evolving world of macro exotics positions him as a key player shaping the future of Hybrid Options trading.Hosted by Ausha. See ausha.co/privacy-policy for more information.
A Unified Framework for Sequential Decisions with Warren Powell
May 9 2023
A Unified Framework for Sequential Decisions with Warren Powell
Warren Powell is Chief Analytics Officer of Optimal Dynamics and Professor Emeritus from Princeton University, where he taught and served as a faculty member in the Department of Operations Research and Financial Engineering since 1981.  In the 1980s Powell designed and wrote SYSNET, an interactive optimization model for load planning at Yellow Freight System, where it is still in use after 25 years. He is the founder of Princeton Transportation Consulting Group, which marketed the model as SuperSPIN, stabilizing an industry where 80% of companies went bankrupt in the first post-deregulation decade. SuperSPIN was used in the planning of American Freightways (which became FedEx Freight) and Overnight Transportation (which became UPS Freight). In 1990 Powell founded CASTLE Laboratory which spans research in computational stochastic optimization with applications initially in transportation and logistics. In 2011 he then founded the Princeton laboratory for ENergy Systems Analysis (PENSA) to tackle the rich array of problems in energy systems analysis, and in 2013: this morphed into “CASTLE Labs,” focusing on computational stochastic optimization and learning. In 2017 Powell founded Optimal Dynamics, helping carriers to automate and optimize trucking networks using AI.  Motivated by these applications, he developed a method for bridging dynamic programming with math programming to solve very high-dimensional stochastic, dynamic programs using the modeling and algorithmic framework of approximate dynamic programming. He identified four fundamental classes of policies for solving sequential decision problems, integrating fields such as stochastic programming, dynamic programming (including approximate dynamic programming/reinforcement learning), robust optimization, optimal control and stochastic search (to name a few). This work identified a new class of policy called a parametric cost function approximation. His work in industry is balanced by contributions to the theory of stochastic optimization, and machine learning.Hosted by Ausha. See ausha.co/privacy-policy for more information.
Complex Systems and Machine Learning in Molecular Biology with Stefano Zapperi and Caterina La Porta
Apr 7 2023
Complex Systems and Machine Learning in Molecular Biology with Stefano Zapperi and Caterina La Porta
Stefano Zapperi is Professor of Theoretical Condensed Matter Physics and Coordinator of the Center for Complexity and Biosystems at the University of Milan. He graduated in physics at the University of Rome “La Sapienza” and received his Ph. D. in physics from Boston University. After a postdoctoral position at ESPCI in Paris, he became tenured researcher at INFM at the University Rome and then at the University Modena and Reggio Emilia. He has been invited as visiting scientist or visiting professor in many institutions worldwide. Prof. Zapperi is an expert in the statistical physics of complex systems and has fostered computational and data driven approaches to materials science and biophysics. His most notable contributions include the theory of the Barkhausen noise in magnets, the statistical physics of plasticity and fracture, and recent work on the physics of cancer and protein aggregation. Prof. Zapperi is the recipient of numerous awards including the Marie Curie Excellence Award. He was elected fellow of the American Physical Society and named Finland Distinguished Professor by the Academy of Finland. He organized several international workshops, summer schools and symposia on a variety of interdisciplinary research topics, ranging from the “Physics of Cancer” to Statistical Physics of Materials and Complex Systems. He has been elected member of the council and the executive committee of the Complex Systems Society and acted as chair of the steering committee of the Conference on Complex Systems. In 2018 he co-founded Complexdata alongside Caterina La Porta. Caterina La Porta is professor of General Pathology at the University of Milan where she coordinates the research group Oncolab and is member of the steering committee of the Center for Complexity and Biosystems. In 2018, she co-founded the startup ComplexData where she serves as CEO. During her scientific career, Prof. La Porta published more than 200 papers in international journals mainly on cancer and neurodegenerative diseases, receiving thousands of citations. In the past 15 years, she shifted her interest to quantitative biology and digital health. The focus of her current research activity focuses on understanding cancer heterogeneity using tools from cell biology, biophysics and data science. Her interdisciplinary view of cancer is summarized in a book published by Cambridge University Press in 2017 entitled “The Physics of Cancer”. Prof. La Porta was selected as one of the 100 most important female scientists in Italy (https://100esperte.it/) and was visiting scientist in many universities around the world, including MIT, Cornell University, Aalto University, Rice University, the ENS Paris, the Weizmann Institute of Science and LMU in Germany. Prof. La Porta has a long track record of public outreach activities, including the organization of several editions of the EU Researcher’s night, and is involved in many other science dissemination activities.Hosted by Ausha. See ausha.co/privacy-policy for more information.
Econophysics with Jean-Philippe Bouchaud
Oct 20 2022
Econophysics with Jean-Philippe Bouchaud
Jean-Philippe Bouchaud, a statistical physicist, is a pioneer in econophysics, a research field applying theories and methods originally developed by physicists in order to solve problems in economics, usually those including uncertainty or stochastic processes and nonlinear dynamics. He is the co-founder and chairman of Capital Fund Management, global asset management using quantitative and scientific approaches to financial markets to invest billions of dollars in a systematic way. He is also the Head of Research of CFM and a professor at École Normale Supérieure. We talk about how ideas in dynamical systems theory and complex systems theory, like the ones developed by the 2021 Physics Nobel prize Giorgio Parisi, but also by Michael Fisher and Benoit Mandelbrot, influenced him. We talk about fat tails, Levy flights, and their emergence in both physical and financial systems. We talk about diffusion phenomena, fractional Brownian motion, hyperchaos, the Hurst exponent, and their application in finance. We touch on the wisdom of crowds, the emergence of intelligence in complex systems, their relations with the efficient market hypothesis, and the limits of Markovian modeling of the financial market. We also try to inform policymaking, both aiming at an optimal level of inequality in society and dealing with systematic incentives to push against what Bret Weinstein calls the personal responsibility vortex, therefore criticizing the invisible hand idea by Adam Smith. We close with the use of Artificial Intelligence techniques in finance, focusing on the relationship between Deep Learning, Kernel Methods, and Random Matrix Theory. LINKS: https://crunchdao.com https://en.wikipedia .org/wiki/Jean-Ph...https://www.linkedin.com/in/jean-phil...https://www.cfm.fr/https://scholar.google.com/citations?...Hosted by Ausha. See ausha.co/privacy-policy for more information.