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X-ORIGINAL-URL:https://datascience.ucsd.edu
X-WR-CALDESC:Events for Halıcıoğlu Data Science Institute - UC San Diego
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DTSTART:20210314T100000
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220301T130000
DTEND;TZID=America/Los_Angeles:20220301T163000
DTSTAMP:20260605T231124
CREATED:20220228T215041Z
LAST-MODIFIED:20220228T215041Z
UID:10000188-1646139600-1646152200@datascience.ucsd.edu
SUMMARY:HDSI 4th Anniversary
DESCRIPTION:
URL:https://datascience.ucsd.edu/event/hdsi-4th-anniversary/
LOCATION:3234 Matthews Ln\, La Jolla\, 92093\, United States
CATEGORIES:HDSI Event
ATTACH;FMTTYPE=:
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220303T140000
DTEND;TZID=America/Los_Angeles:20220303T153000
DTSTAMP:20260605T231124
CREATED:20220303T221558Z
LAST-MODIFIED:20220303T221558Z
UID:10000194-1646316000-1646321400@datascience.ucsd.edu
SUMMARY:HDSI Seminar: Cody Carroll
DESCRIPTION:
URL:https://datascience.ucsd.edu/event/hdsi-seminar-cody-carroll/
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220303T160000
DTEND;TZID=America/Los_Angeles:20220303T180000
DTSTAMP:20260605T231124
CREATED:20220228T215822Z
LAST-MODIFIED:20260411T014725Z
UID:10000190-1646323200-1646330400@datascience.ucsd.edu
SUMMARY:Physics Colloquium
DESCRIPTION:[vc_row][vc_column][vc_column_text css=””] \nPlease join us Thursday\, March 3rd\, at 4PMFor the Physics ColloquiumZoom link: https://ucsd.zoom.us/j/93730100055?pwd=eFl2ZGw5WExKSU1JSy9lbXp1ZGxXUT09 Passcode: PHYSCOLL Dr. Frederica BiancoUniversity of Delaware “Beyond the stars: data-driven approaches to astrophysics\, survey design\, and interdisciplinary research” Astrophysics is the perfect nursery for Data Science: we cannot touch the stars\, we cannot explode them in a lab. We know them only through our data collection efforts\, messy\, complex data. The Rubin Observatory Legacy Survey of Space and Time (LSST) is about to usher yet a new era in data-intensive astrophysics. The “next-generation” ground-based astronomical survey\, LSST will generate 20TB of information-rich optical-imaging data every night for 10 years starting in 2024. The survey is designed to study nearly all subdomains of astrophysics\, from the closest Solar System objects to the farthest cosmological explosions\, and with a unique data policy that gives unrestricted access to all US and Chilean scientists\, it is staged to be truly transformational. I will talk about how we are optimizing the survey and preparing to unknock the most pressing secrets about the universe and discover unusual and even completely new phenomena with LSST through a community- and data-driven approach. Beyond Rubin\, I will discuss examples of interdisciplinary projects where Data Science techniques common in astrophysicist are brought across domains: in Urban Science\, where we study the urban ecology and sociology through images\, in COVID-19 predictions to support local hospital resource planning\, and even in feminist approaches to substance abuse.\nHere is the link for the sign-up sheet to meet with meet with Dr. Frederica Bianco who will be speaking at the Physics Colloquium at the NSB Auditorium Thursday\, March 3rd\, at 4PM on “Beyond the stars: data-driven approaches to astrophysics\, survey design\, and interdisciplinary research”. \nSignup to meet with Dr. Bianco \n\n\n\n\nMeet with Dr. BiancoSheet1 Available Time Slot\,Sign up – Full Name Thursday 3/3/22 10:00-10:30 AM Thursday 3/3/22 10:30-11:30 AM Thursday 3/3/22 11:15-12:15 PM Lunch Thursday 3/3/22 2:00-2:30 PM\,David Danks Prof. of Data Science and Philosophy Thursday 3/3/22 2:30-3:00 PM Thursday 3/3/22 6:15 PM Dinner Friday 3/4/2…docs.google.com\n\n\n\n[/vc_column_text][/vc_column][/vc_row]
URL:https://datascience.ucsd.edu/event/physics-colloquium/
LOCATION:3234 Matthews Ln\, La Jolla\, 92093\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220309T150000
DTEND;TZID=America/Los_Angeles:20220309T190000
DTSTAMP:20260605T231124
CREATED:20220222T210142Z
LAST-MODIFIED:20220222T210142Z
UID:10000341-1646838000-1646852400@datascience.ucsd.edu
SUMMARY:Data Science Study Jam WI22
DESCRIPTION:
URL:https://datascience.ucsd.edu/event/data-science-study-jam-wi22/
LOCATION:3234 Matthews Ln\, La Jolla\, 92093\, United States
CATEGORIES:HDSI Event
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220310T140000
DTEND;TZID=America/Los_Angeles:20220310T150000
DTSTAMP:20260605T231124
CREATED:20220310T203704Z
LAST-MODIFIED:20220310T203704Z
UID:10000196-1646920800-1646924400@datascience.ucsd.edu
SUMMARY:HDSI Seminar: Divya Mahajan
DESCRIPTION:
URL:https://datascience.ucsd.edu/event/hdsi-seminar-divya-mahajan/
LOCATION:3234 Matthews Ln\, La Jolla\, 92093\, United States
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220311T100000
DTEND;TZID=America/Los_Angeles:20220311T120000
DTSTAMP:20260605T231124
CREATED:20220228T220656Z
LAST-MODIFIED:20220228T220656Z
UID:10000192-1646992800-1647000000@datascience.ucsd.edu
SUMMARY:HDSI 2022 Senior Class Capstone Showcase
DESCRIPTION:More info here!
URL:https://datascience.ucsd.edu/event/hdsi-2022-senior-class-capstone-showcase/
LOCATION:3234 Matthews Ln\, La Jolla\, 92093\, United States
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220316T100000
DTEND;TZID=America/Los_Angeles:20220316T100000
DTSTAMP:20260605T231124
CREATED:20230313T202204Z
LAST-MODIFIED:20230313T202204Z
UID:10000357-1647424800-1647424800@datascience.ucsd.edu
SUMMARY:TILOS Seminar Series
DESCRIPTION:
URL:https://datascience.ucsd.edu/event/tilos-seminar-series-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220316T100000
DTEND;TZID=America/Los_Angeles:20220316T110000
DTSTAMP:20260605T231124
CREATED:20220315T212733Z
LAST-MODIFIED:20220315T212733Z
UID:10000198-1647424800-1647428400@datascience.ucsd.edu
SUMMARY:TILOS Seminar Series
DESCRIPTION:Please join us for our TILOS Seminar on Wednesday\, March 16\, 2022 at 10:00am PST / 1:00pm EST. \nTitle: The Connections Between Discrete Geometric Mechanics\, Information Geometry\, Accelerated Optimization and Machine Learning \nSpeaker: Melvin Leok\, Department of Mathematics\, University of California\, San Diego \nAbstract: Geometric mechanics describes Lagrangian and Hamiltonian mechanics geometrically\, and information geometry formulates statistical estimation\, inference\, and machine learning in terms of geometry. A divergence function is an asymmetric distance between two probability densities that induces differential geometric structures and yields efficient machine learning algorithms that minimize the duality gap. The connection between information geometry and geometric mechanics will yield a unified treatment of machine learning and structure-preserving discretizations. In particular\, the divergence function of information geometry can be viewed as a discrete Lagrangian\, which is a generating function of a symplectic map\, that arise in discrete variational mechanics. This identification allows the methods of backward error analysis to be applied\, and the symplectic map generated by a divergence function can be associated with the exact time-h flow map of a Hamiltonian system on the space of probability distributions. We will also discuss how time-adaptive Hamiltonian variational integrators can be used to discretize the Bregman Hamiltonian\, whose flow generalizes the differential equation that describes the dynamics of the Nesterov accelerated gradient descent method. \nAbout the Speaker: Melvin Leok is professor of mathematics and co-director of the CSME graduate program at the University of California\, San Diego. His research interests are in computational geometric mechanics\, computational geometric control theory\, discrete geometry\, and structure-preserving numerical schemes\, and particularly how these subjects relate to systems with symmetry. He received his Ph.D. in 2004 from the California Institute of Technology in Control and Dynamical Systems under the direction of Jerrold Marsden. He is a three-time NAS Kavli Frontiers of Science Fellow\, a Simons Fellow in Mathematics\, and has received the DoD Newton Award for Transformative Ideas\, the NSF Faculty Early Career Development (CAREER) award\, the SciCADE New Talent Prize\, the SIAM Student Paper Prize\, and the Leslie Fox Prize (second prize) in Numerical Analysis. He has given plenary talks at Foundations of Computational Mathematics\, NUMDIFF\, and the IFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control. He serves on the editorial boards of the Journal of Nonlinear Science\, the Journal of Geometric Mechanics\, and the Journal of Computational Dynamics\, and has served on the editorial boards of the SIAM Journal on Control and Optimization\, and the LMS Journal of Computation and Mathematics. \nJoin Zoom Meeting \nhttps://ucsd.zoom.us/j/99334315002 \nMeeting ID: 993 3431 5002
URL:https://datascience.ucsd.edu/event/tilos-seminar-series/
LOCATION:3234 Matthews Ln\, La Jolla\, 92093\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220328T010000
DTEND;TZID=America/Los_Angeles:20220328T010000
DTSTAMP:20260605T231124
CREATED:20230313T202205Z
LAST-MODIFIED:20230313T202205Z
UID:10000358-1648429200-1648429200@datascience.ucsd.edu
SUMMARY:TILOS Workshop 1
DESCRIPTION:
URL:https://datascience.ucsd.edu/event/tilos-workshop-1-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220328T130000
DTEND;TZID=America/Los_Angeles:20220328T163000
DTSTAMP:20260605T231124
CREATED:20220321T220930Z
LAST-MODIFIED:20220321T220930Z
UID:10000200-1648472400-1648485000@datascience.ucsd.edu
SUMMARY:TILOS Workshop 1
DESCRIPTION:
URL:https://datascience.ucsd.edu/event/tilos-workshop-1/
LOCATION:3234 Matthews Ln\, La Jolla\, 92093\, United States
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