Two Sigma’s APAC CEO Kenny Lam will speak Tuesday at World Economic Forum's 2024 Annual Meeting of the New Champions in China. If you’re attending, join Kenny's discussion on how fragmentation poses challenges and how finance leaders can reinforce cooperation on global consensus at a moment of rising geopolitical complexity at 5:30 pm CST on June 25th. Learn more: https://lnkd.in/gpZr7NuM #AMNC24 #WorldEconomicForum
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In our latest insights post, senior engineering leader Mae Santos shares her career journey, her approach to leading a global team, and how she prioritizes reliability in system design. Explore the full story here. https://lnkd.in/gwtCfHNg
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We had the privilege of hosting a networking event and panel discussion focused on transitioning military skills into the world of quant finance. A huge thank you to our panelists Claudia Ruiz, Desmond Conneely, and Morgan Alcalay for sharing their valuable insights, and moderator Denis de Graeve for leading the discussion. The connections made will have a lasting impact, reflecting the essence of Two Sigma. We are committed to supporting the veteran community within the finance industry and look forward to future collaborations. #VeteransInFinance #MilitaryTransition
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Our Head of Strategic Data Science, Investment Management, Claudia Perlich, joined a panel this week at #BloombergInvest to discuss how Two Sigma seeks to find the right balance between humans and machines to create investment insights. Watch here: https://lnkd.in/gXDdmbSc
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Join Claudia Perlich in kicking off #BloombergInvest on Tuesday in a discussion about the intersection of human intuition, data science, and advanced techniques like machine learning. Tune in at https://lnkd.in/g_ewRyFb Bloomberg Live
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Two Sigma has a history of partnering with professors from top universities collaborating on complex problems. Dr. Liu is one of our partners and recently shared how this type of collaboration influences his research and motivates his work. Read more: https://lnkd.in/gG2DAmrN
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In 2016, Women at Two Sigma (W@TS), one of the company’s four employee resource groups, established our Circles program. The aim was to create a tight micro-community where women could discuss career progression, work-life balance, and other related topics that might not be as easy to discuss candidly in existing settings. “When I got to Two Sigma, Circles helped me feel totally comfortable that I was working at the right place—and I want others to feel that, too,” shared Melissa Isaacs, head of the End User Services engineering team. Learn more: https://lnkd.in/eH2T6iqV
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Congratulations to William Merrill of New York University and Yinlin Deng of University of Illinois Urbana-Champaign who have been named the 2024 winners of Two Sigma's PhD Fellowship. Two Sigma's PhD Fellowships are designed to support PhD students who are expanding frontiers in a #STEM field such as statistics, applied mathematics, computer science, and physics. Learn more: https://lnkd.in/gB3z3gGe
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Women in Machine Learning recently featured Two Sigma's Claudia Perlich, Head of Strategic Data Science, Investment Management, for her contributions to Machine Learning. Claudia shared how her passion for biology inspired her later interest in #MachineLearning during her graduate studies. Learn more:
Claudia Perlich is an outstanding example of women in machine learning. While her passion for machine learning is evident, it was not her original interest. When asked how she first became interested in machine learning, Claudia shared "My interest in machine learning developed almost accidentally. Growing up I was really interested in biology and animals in particular. Not the small ones though - I was an avid lover of horses! My mom quickly cured me of my dream of becoming a vet by sending me to work in a cow stable for two weeks. Instead, my dad convinced me that there would be a future in CS and that I could decide later. So, in 1995 I picked a course on “artificial neural networks” during my CS grad school, just because it sounded cool and seemed to have a taste of biology in the name. Little did I know that the underlying technology would revolutionize AI a good 20 years later. But during that course I fell in love with working with data; it is incredible how much you can learn about people without having to talk to them. Regular CS can be very dry and somewhat abstract, but here was an opportunity to engage with the world and learn about all kinds of domains from medical applications like breast cancer and hospital readmissions to advertising and finance." Thank you Claudia for your positive representation of women in machine learning and your many contributions to the field.
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