Friday, March 24th, 2017

Student Talk Series: Carina Curto 3/30 @ noon in Olin 268

Title:  What can topology tell us about the neural code? Abstract:  Cracking the neural code is one of the central challenges of neuroscience. Neural codes allow the brain to represent, process, and store information about the outside world. Unlike other types of codes, they must also reflect relationships between stimuli, such as proximity between locations in an environment. In this talk, I will explain why algebraic topology provides natural tools for understanding the structure and function of neural codes.

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Tuesday, March 7th, 2017

Student Talk Series: Joe Lauer 3/9 @ noon in Olin 268

Title:  The Mathematics of Soap Films Abstract:  Every child knows that when you blow bubbles the surface that results is a sphere. But why? We’ll talk about this, more exotic examples, and a little bit about the group of Princeton mathematicians that became obsessed with soap films in the 1960s.

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Wednesday, February 15th, 2017

Student Talk Series: Abby Hare-Harris 2/16 @ noon in Olin 268

Title:  Beyond Standard Scores:  Using Item-level Responses From Clinical Measures to Detect Atypical Developmental Patterns Abstract:  Developmental deviance (DDEV) refers to the non-sequential attainment of milestones within a developmental domain. This observation is in contrast to developmental delay (DD), where milestones are reached in the typical sequence, but the timeline of attainments is delayed. There is evidence that DDEV is associated with certain neurobehavioral diagnoses, such as autism spectrum disorder (ASD). Clinically, the attainment of developmental milestones is assessed through standardized measures of developmental domains. Many psychometric tests are arranged hierarchically, and on the surface, two individuals with the same […]

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Friday, January 27th, 2017

Student Talk Series: Christy Hamlet 2/2 @ noon in Olin 268

Title: Modeling lamprey swimming with mathematics and computation Abstract: Locomotion — swimming, running, flying — is one of the most basic animal behaviors. In order for an animal (like a lamprey) to swim, a lot has to happen, including neural signaling, muscle contractions, interactions between the body and the water, and adjustments from sensory feedback. How do we use mathematics to better understand the underlying mechanisms that drive locomotion? We will explore how we can use mathematical models to describe these individual systems and then coordinate the systems to produce a naturally emerging behavior in computer simulations of swimming lampreys.  

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Monday, November 7th, 2016

Student Talk Series: Sharon Garthwaite 11/10 @ noon in Olin 268

Title:  1+2+3+4+… = -1/12 Abstract: Infinite series. Every Calculus II student hates them; every mathematician loves them. So, why do mathematicians love infinite series? Well, ask one, and you’ll never hear the end of it… (just sum math humor). We’ll see how two standard examples of series, the geometric series and the zeta function (p-series), lead to beautiful applications, such as in economics and signal processing. We’ll also see how even divergent series are fascinating.

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Friday, October 21st, 2016

Student Talk Series: Mark Meyer 10/27 @ noon in Olin 268

Title:  Losing Altitude: A story of airplanes, heart rate, and one “controversial” dataset Abstract: When you ride in an airplane, the lowered pressure in the cabin causes your blood oxygen levels to decrease. If oxygen saturation levels go low enough, you may experience some interesting side effects (like temporary color blindness, for example), that much we know. What we don’t know is if there is also an impact on the functioning of the heart. Partially motivated by a rash of flight related medical case studies, a study was conducted in 2007 to more formally assess the effects of exposure to altitude […]

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Friday, October 7th, 2016

Student Talk Series: Various Awesome Students, 10/13 @ noon in Olin 268

Title: What Did You Do Last Summer? Moderator: Alexander Murph ’18 Presenters:   Trevor Adriaanse ’17 – Cryptanalysis & Exploitation Services Summer Program, at the NSA. Alexander Murph ’18 – Research Apprentice for the Bucknell Geisinger Research Initiative (BGRI) Laura Papili ’17 – Actuarial Internship at Genworth in Richmond, VA. Genworth’s Actuarial development program. Ryan Buzzell ’17 – AEW Capital Management, L.P. (Boston Office). Real Estate Investment Firm. Katie Lunceford ’17 – Susquehanna International Group LLP (SIG)/Statistical Options Trading/Intern – Bala Cynwyd, PA Tung Phan ’17 – Susquehanna International Group LLP (SIG)/Statistical Options Trading/Intern – Bala Cynwyd, PA Naba Mukhtar ’18 […]

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Friday, September 23rd, 2016

Student Talk Series: Charles Wessell, 9/29 @ noon in Olin 268

Title:  Electoral College Math:  How to Become President with 20% of the Popular Vote Abstract: The Electoral College makes it possible to become U. S. President with less than a majority of the popular vote. In a two-candidate election, what is the minimal percentage of the popular vote possible for a winning candidate? In this talk we’ll first mimic an approach suggested by George Pólya that to find a theoretical solution. We’ll then make use of of tools not readily available to Pólya – spreadsheets and binary linear integer problem software — to see if we can improve on his […]

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Friday, September 9th, 2016

Student Talk Series: Brian King, 9/15 @ noon in Olin 268

Title:  Sequential data mining Abstract:  Data representing DNA, proteins, literature, weather, and the stock market all share one common characteristic: their data are sequential. Sequence data present some of the most challenging problems for machine learning and data mining methods. In this talk, Professor Brian King will present a generalized, probabilistic framework for modeling sequential data. He will show how he and his students have adapted this model for classification and prediction tasks, reporting results from recent studies.

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Monday, August 29th, 2016

Student Talk Series: Karl Voss, 9/1 @ noon in Olin 268

  Title:  Being fair in a world of limited resources Abstract:  Fair division is a problem that all of us encounter regularly.  Every time you and another person or several people have to divide something – pizza, money, space, Neapolitan ice cream, band width, candy, etc. – you are working on a fair-division problem.  How can several people share a limited resource and make sure that no person feels the resulting allocation is unfair?   Before we can answer this question, we need to figure out what exactly is means to be ‘fair’.  The mathematical development of this subject is fairly […]

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