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DTSTART;TZID=UTC:20190509T160000
DTEND;TZID=UTC:20190509T180000
DTSTAMP:20260503T201601
CREATED:20190430T145817Z
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SUMMARY:Molecular Innovations for Live Cell Imaging (Presentation)
DESCRIPTION:Thursday\, May 9\, 2019 \n4:00PM – 6:00PM\n\nBuell Hall\n\n515 West 116th Street\n\nNew York\, NY 10027\n\n\nThe fluorescent proteins revolutionized our ability to study protein function directly in the cell by enabling individual proteins to be selectively labeled through genetic encoding of a fluorescent tag. As researchers seek to make increasingly sophisticated dynamic measurements of protein function in the cell to unravel molecular mechanism\, we designed a chemical tag to combine the advantages of genetic encoding with a modular organic fluorophore. With TMP-tag\, the protein of interest is tagged with E. coli dihydrofolate reductase\, which can subsequently be labeled with a cell permeable trimethoprim-fluorophore conjugate. Here we demonstrate that TMP-tag is a robust cellular reagent. We present recent results exploiting the modular nature of the chemical tag to generate TMP-tags for specific applications in single-molecule\, super-resolution\, and multi-color imaging. We look forward to innovations at the interface of chemical tag technology and spectroscopy for biological imaging. \nVirginia W. Cornish graduated summa cum laude from Columbia University with a B.A. in Biochemistry in 1991\, where she did undergraduate research with Professor Ronald Breslow. She earned her Ph.D. in Chemistry with Professor Peter Schultz at the University of California at Berkeley and then was a Postdoctoral Fellow in the Biology Department at M.I.T. under the guidance of Professor Robert Sauer. Virginia joined the faculty of the Chemistry Department at Columbia in 1999\, where she carries out research at the interface of chemistry and biology\, and was promoted to Associate Professor with tenure in 2004 and then Professor in 2007. Her laboratory brings together modern methods in synthetic chemistry and DNA technology to expand the synthetic capabilities of living cells. Her research has resulted in 59 research publications and several patents and currently is supported by multiple grants from the NIH and NSF. Virginia has been recognized for her research by awards including an NSF Career Award (2000)\, a Sloan Foundation Fellowship (2003)\, the Protein Society Irving Sigal Young Investigator Award (2009)\, and the American Chemical Society Pfizer Award in Enzyme Chemistry (2009). In addition to her research and teaching\, Virginia enjoys spending time with her husband and their three children.\n \nPlease contact marley.bauce@columbia.edu with any event related questions.
URL:https://entrepreneurship.columbia.edu/event/molecular-innovations-live-cell-imaging-presentation/
CATEGORIES:Columbia Data Science Institute
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DTSTART;TZID=UTC:20190517T081500
DTEND;TZID=UTC:20190517T180000
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SUMMARY:Machine Learning in Finance Workshop
DESCRIPTION:OPEN TO ALL\n\nPurchase Tickets Here\n\n\n\n\n\nFriday\, May 17\, 2019 \n8:15 AM – 6:00 PM \nColumbia University – Lerner Hall\n2920 Broadway\, New York\, NY 10027 \nThe Data Science Institute (DSI) at Columbia University and Bloomberg are pleased to announce a workshop on “Machine Learning in Finance”. The workshop will be held at Columbia University under the auspices of the Financial and Business Analytics Center\, one of the constituent centers in the DSI\, and the Center for Financial Engineering. \nBoxed lunches will be provided. There will also be regular coffee breaks throughout the day and a wine and cheese reception after the event.\n \nThe Center for Financial Engineering and the Financial Analytics Center at Columbia University\n\nOrganizer of Machine Learning in Finance Workshop 2019\n\nThe Center for Financial Engineering is an interdisciplinary research center established in 2007 to encourage research on financial engineering and mathematical modeling in finance. It aims at fostering research collaboration among Columbia faculty\, graduate students and affiliates\, facilitating their contacts with financial institutions and corporations and enhancing the visibility of Columbia as a center for research and innovation in financial engineering. \nThe Center’s research activities deal with the pricing and hedging of derivative securities\, the statistical modeling of financial markets\, computational methods in finance\, risk management\, asset allocation\, and portfolio optimization. \nThe Financial Analytics Center is one of the key centers at the Data Science Institute at Columbia University. It brings together expertise in finance theory\, machine learning\, statistics\, signal processing\, operations\, and natural language processing\, and supports collaborations with an appropriately trained student body as well as with the financial industry.
URL:https://entrepreneurship.columbia.edu/event/machine-learning-finance-workshop/
CATEGORIES:Columbia Data Science Institute
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