• CCMS Colloquium: Sound Information is All You Need (Kobi Abayomi, Seton Hall University)

    Argue Auditorium, Pomona College 610 N. College Ave., Claremont, CA, United States

    Speaker: Kobi Abayomi, Head of Science, Gumbel Demand Acceleration Title: Sound Information is All You Need Abstract: It turns out that affinity for a song is predictable from its sound. We explore the statistical predictability of aggregate song demand from an informational representation. ___________________________ Bio: Dr. Abayomi is the Head of Science for Gumbel Demand […]

  • CCMS Colloquium: Math as the Gateway for STEM Achievement and Access: The Bridge to Enter Advanced Mathematics (BEAM) Program (Dan Zaharopol, CEO BEAM)

    Argue Auditorium, Pomona College 610 N. College Ave., Claremont, CA, United States

    Speaker: Daniel Zaharopol, Founder of Bridge to Enter Advanced Mathematics (BEAM), (AoPSI) The Art of Problem Solving Initiative, Inc. Title: Math as the Gateway for STEM Achievement and Access: The Bridge to Enter Advanced Mathematics (BEAM) Program Abstract: Knowing facts is not enough to drive success in STEM fields: one also needs strong problem solving, […]

  • CCMS Colloquium: (Hrushikesh Mhaskar, Claremont Grad Uni.)

    Argue Auditorium, Pomona College 610 N. College Ave., Claremont, CA, United States

    Speaker: Hrushikesh Mhaskar, Distinguished Research Professor of Mathematics, Claremont Graduate University Title: Local Analysis Of Global Data Abstract: For a periodic integrable function f, the definition of Fourier coefficients requires […]

  • No CCMS Colloquium!

    Argue Auditorium, Pomona College 610 N. College Ave., Claremont, CA, United States
  • CCMS Colloquium: (Iris Yoon, Wesleyan University)

    Argue Auditorium, Pomona College 610 N. College Ave., Claremont, CA, United States

    Speaker: Iris Yoon, Professor of Mathematics, Wesleyan University Title: How Topology Reveals Structure in Neuroscience Data Abstract: We live in an exciting time where new data is generated at an exponential rate. Such data explosion necessitates the development of novel methods for studying large, noisy, and complex data. One interesting aspect of data is its shape and […]