ARTEFACT 研究中心

自2022年5月以来，我一直是德国Artefact公司数据科学与工程团队的负责人，在这里，我将自己的计算机科学学术背景（拥有机器学习和信息检索方面的博士学位）应用于解决Artefact公司客户的业务问题。我的工作不仅包括领导团队，还包括激励团队将前沿的AI研究与实际应用相结合。我热衷于将复杂的AI概念变得通俗易懂，并努力利用技术实现创新的业务解决方案和有意义的社会影响。

Evan拥有AI工程的博士学位，他在此期间应用了AI技术来优化一个采用多种交易策略的主动管理投资组合。他曾在学术界进行研究工作，与他人合著了《人工智能与经济理论：市场中的天网》。随后，他致力于使用强化学习进行标准普尔指数Platts的绿色能源解决方案研究，然后在Preqin从事理解和整合替代性投资数据的工作。他于2020年加入了Artefact，并在多个行业中积累了丰富经验，包括零售、网络安全、软件即服务（SaaS）、工程、教育和房地产，服务的客户涵盖从中小型企业到FESE100公司。

George received his Ph.D. in Theoretical Neuroscience from the University of Cambridge for his work on the mathematical modeling of animal learning. George has 10 years of research experience in deep learning, which he is now applying in industrial settings. Since leaving academia, George has worked across a wide range of industries and problem domains, from jet engines to antibiotic resistance. George has also spent a few years in the area of national security, building a product to combat discrimination resulting from the inappropriate use of AI. Learn more at www.cevora.xyz

Savio holds a Ph.D. in experimental laser plasma physics from Imperial College London, where he used machine learning methods to optimize the experimental configuration of highly nonlinear plasma accelerator systems. He worked at EY in their tax R&D department, developing machine learning solutions for compliance monitoring across multiple geographies using large language models. He joined Artefact in 2022 and has delivered end-to-end data science solutions across a variety of sectors including retail, transport and real estate for FTSE250 organizations.

Nelson spent the first decade of his career in a combination of equity and commodity markets, where he deployed quantitative trading strategies in OTC markets. After completing his MSc in Data Science in 2021, he joined Artefact’s UK office as a data scientist, where he works on data science problems across a range of domains, with expertise in AI applications in financial markets and trading.