Difference between revisions of "SIAM Student Chapter Seminar"

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__NOTOC__
 
__NOTOC__
  
*'''When:''' Mondays at 4 PM
+
*'''When:''' Fridays at 1 PM unless noted otherwise
*'''Where:''' See list of talks below
+
*'''Where:''' 9th floor lounge (we will also broadcast the virtual talks on the 9th floor lounge with refreshments)
*'''Organizers:''' [https://sites.google.com/wisc.edu/evan-sorensen Evan Sorensen]
+
*'''Organizers:''' [https://sites.google.com/wisc.edu/evan-sorensen Evan Sorensen], Jordan Radke, Peiyi Chen, and Yahui Qu
 
*'''Faculty advisers:''' [http://www.math.wisc.edu/~jeanluc/ Jean-Luc Thiffeault], [http://pages.cs.wisc.edu/~swright/ Steve Wright]  
 
*'''Faculty advisers:''' [http://www.math.wisc.edu/~jeanluc/ Jean-Luc Thiffeault], [http://pages.cs.wisc.edu/~swright/ Steve Wright]  
 
*'''To join the SIAM Chapter mailing list:''' email [mailto:siam-chapter+join@g-groups.wisc.edu siam-chapter+join@g-groups.wisc.edu].
 
*'''To join the SIAM Chapter mailing list:''' email [mailto:siam-chapter+join@g-groups.wisc.edu siam-chapter+join@g-groups.wisc.edu].
 +
*'''Zoom link:''' https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09
 +
*'''Passcode: 641156'''
  
 
<br>
 
<br>
 
+
==Fall 2022==
==Spring 2022==
+
{| class="wikitable"
 
+
!Date (1 PM unless otherwise noted)
{| cellpadding="8"
+
!Location
!align="left" | date and time
+
!Speaker
!align="left" | location
+
!Title
!align="left" | speaker
 
!align="left" | title
 
 
|-
 
|-
| Feb 7, 4 PM
+
|9/23
| LOCATION
+
|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck                         
| [HOMEPAGE | Person | Department
+
|[http://www-personal.umich.edu/~tganders/ Thomas Anderson] (University of Michigan)                         
|''[[#DATE, PERSON |TITLE]]''
+
|A few words on potential theory in modern applied math
 
|-
 
|-
 +
|9/30 ('''11 AM''')
 +
|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck
 +
|[https://jeffhammond.github.io/ Jeff Hammond] (Principal Engineer at [https://www.nvidia.com/en-us/ NVIDIA])
 +
|Industry talk
 
|-
 
|-
 +
|10/7
 +
|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck
 +
|[https://walterbabyrudin.github.io/ Jie Wang] (Georgia Institute of Technology)
 +
|Sinkhorn Distributionally Robust Optimization
 
|-
 
|-
| Feb 14, 4 PM
+
|10/14
| LOCATION
+
|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck
| [HOMEPAGE | Person | Department
+
|[https://you.stonybrook.edu/reutergroup/ Matt Reuter] (Stony Brook University)
|''[[#DATE, PERSON |TITLE]]''
+
|
|-
 
|-
 
|-
 
| Feb 21, 4 PM
 
| LOCATION
 
| [HOMEPAGE | Person | Department
 
|''[[#DATE, PERSON |TITLE]]''
 
 
|-
 
|-
|-
+
|10/19 ('''Wednesday at 4 PM)'''
 
+
|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck
|}
+
|Ying Li
 
 
== Fall 2021  ==
 
 
 
{| cellpadding="8"
 
!align="left" | date and time
 
!align="left" | location
 
!align="left" | speaker
 
!align="left" | title
 
|-
 
| Sept 20, 4 PM
 
| Ingraham 214
 
| [https://sites.google.com/view/julialindberg/home/ Julia Lindberg] (Electrical and Computer Engineering)
 
|''[[#Sept 20, Julia Lindberg |Polynomial system solving in applications]]''
 
|-
 
|-
 
| Sept 27, 4 PM,
 
| Zoom (refreshments and conference call in 307)
 
| Wil Cocke (Developer for [https://www.arcyber.army.mil/ ARCYBER])
 
| ''[[#Sept 27, Wil Cocke |Job talk-Software Development/Data Science]]''
 
 
|
 
|
 
|-
 
|-
|-
+
|10/28
| Oct 4, '''2:45 PM'''
+
|911 Van Vleck
| B119 Van Vleck
+
|Yinling Zhang (UW-Madison)
| [https://sites.google.com/wisc.edu/nair-anjali/home/ Anjali Nair] (Math)
 
| ''[[#Oct 4, Anjali Nair|Reconstruction of Reflection Coefficients Using the Phonon Transport Equation]]''
 
 
|
 
|
 
|-
 
|-
|-
+
|11/4
| Oct 18, 4 PM
+
|911 Van Vleck
| 6104 Social Sciences
+
|Haley Colgate (UW-Madison)
| [https://jasonltorchinsky.github.io/ Jason Tochinsky] (Math)
 
| ''[[#Oct 18, Jason Torchinsky|Improving the Vertical Remapping Algorithm in the Department of Energy’s Energy Exascale Earth Systems Model]]''
 
 
|
 
|
 
|-
 
|-
|-
+
|11/11
| Oct 25, 4 PM,
+
|911 Van Vleck
| Zoom (refreshments and conference call in 9th floor lounge)
+
|[https://sites.google.com/wisc.edu/zinanwang/ Zinan Wang] (UW-Madison)
| [https://www.linkedin.com/in/patricktbardsley/ Patrick Bardsley] (Senior Machine Learning Engineer at [https://www.cirrus.com/ Cirrus Logic])
 
| ''[[#Oct 25, Patrick Bardsley|Job Talk-Machine Learning]]''
 
 
|
 
|
 
|-
 
|-
|-
+
|11/18
| Nov 8, 4 PM,
+
|911 Van Vleck
| Zoom (refreshments and conference call in 9th floor lounge)
+
|Parvathi Kooloth (UW-Madison)
| [https://www.linkedin.com/in/libanmohamed496/ Liban Mohamed] (Machine Learning Engineer at [https://www.mitre.org/ MITRE])
 
| ''[[#Nov 8, Liban Mohamed|Job Talk-Machine Learning]]''
 
 
|
 
|
 
|-
 
|-
|-
+
|11/25
| Nov 15, 4 PM,
+
|NO TALK
| Zoom (refreshments and conference call in 9th floor lounge)
+
|THANKSGIVING WEEK
| [https://www.linkedin.com/in/kurt-ehlert-320b8397/ Kurt Ehlert] (Trading Strategy Developer at [https://auros.global/about/ Auros])
 
| ''[[#Nov 15, Kurt Ehlert|Job Talk-Cryptocurrency Trading]]''
 
 
|
 
|
 
|-
 
|-
|-
+
|12/2
| Nov 29, 4 PM
+
|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck
| 9th floor lounge
+
|Jenny Yeon (Applied Scientist at Amazon)
| [https://people.math.wisc.edu/~boakley/ Bryan Oakley] (Math)
 
| ''[[#Nov 29, Bryan Oakley|Optimal Spatially Dependent Diffusion]]''
 
 
|
 
|
|-
 
|-
 
| Dec 6, 4 PM
 
| 9th floor lounge
 
| [https://sites.google.com/view/hongxuchen/ Hongxu Chen] (Math)
 
| ''[[#Dec 6, Hongxu Chen|Boltzmann equation with Cercignani-Lampis boundary]]''
 
 
|}
 
|}
  
== Abstracts ==
 
 
=== Sept 20, Julia Lindberg===
 
Polynomial systems arise naturally in many applications in engineering and the sciences. This talk will outline classes of homotopy continuation algorithms used to solve them. I will then describe ways in which structures such as irreducibility, symmetry and sparsity can be used to improve computational speed. The efficacy of these algorithms will be demonstrated on systems in power systems engineering, statistics and optimization
 
 
 
=== Sept 27, Wil Cocke ===
 
I mostly work as a software developer with an emphasis on data science projects dealing with various Command specific projects. The data science life-cycle is fairly consistent across industries: collect, clean, explore, model, interpret, and repeat with a goal of providing insight to the organization. During my talk, I will share some lessons learned for mathematicians interested in transitioning to software development/ data science.
 
  
  
=== Oct 4, Anjali Nair ===
 
The phonon transport equation is used to model heat conduction in solid materials. I will talk about how we use it to solve an inverse problem to reconstruct the thermal reflection coefficient at an interface. This takes the framework of a PDE constrained optimization problem, and I will also mention the stochastic methods used to solve it.
 
  
 +
==Abstracts==
  
=== Oct 18, Jason Torchinsky ===
+
'''9/23 Thomas Anderson:''' I'll talk a bit about potential theory as it is used today in the solution, via boundary integral equations / the boundary element method, of linear PDEs. These aren't only a numerical approach: I'll say a few words too about how they can be used to do analysis on problems. Then I may say a few things about volumetric potential theory: what are the problems there I've been thinking about, and application studies in mixing, for example, that they enable. Finally, I'll be happy to talk a bit about my experience so far in academia.
A vertical Lagrangian coordinate has been used in global climate models for nearly two decades and has several advantages over other discretizations, including reducing the dimensionality of the physical problem. As the Lagrangian surfaces deform over time, it is necessary to accurately and conservatively remap the vertical Lagrangian coordinate back to a fixed Eulerian coordinate. A popular choice of remapping algorithm is the piecewise parabolic method, a modified version of which is used in the atmospheric component of the Department of Energy's Energy Exascale Earth System Model. However, this version of the remapping algorithm creates unwanted noise at the model top and planetary surface for several standard test cases. We explore four alternative modifications to the algorithm and show that the most accurate of these eliminates this noise.
 
 
 
 
 
=== Oct 25, Patrick Bardsley ===
 
During the course of a PhD, students typically enter a proverbial `coal mine’ to extract new information about one or more problems, and in the process become a domain expert in a small niche of the technical and scientific world. Upon leaving the academy, unless one lands a job in their niche domain, much of their problem- and domain-specific knowledge is no longer essential. However, mathematics is broad and general, arguably the most general of all scientific disciplines. This fact alone is a mathematician’s greatest asset and ‘leg-up’ when entering the industrial workforce. In this talk, I will discuss some details of my work, both inside and outside of the academy, with the goal of highlighting the skills and concepts that have been the most general and transferable for me. For example, my academic work on hyperbolic inverse problems helped me learn signal processing concepts I now use daily, while my studies on polycrystalline grain growth pushed me to learn thermodynamics, which translated well to the information theory concepts I now utilize. I will also give you some idea of my current day-to-day responsibilities, and close with my thoughts and suggestions on job searches.
 
 
 
 
 
=== Nov 8, Liban Mohamed ===
 
I work as a researcher at MITRE, a company that manages R&D contracts (FFRDCs) with federal agencies. I am nominally a machine learning engineer, but my department supports a diverse array of initiatives with the IRS. In this talk I'll give an overview of the FFRDC space, give a sketch of what I work on and how I spend my time, and share my thoughts about navigating the transition from academia to industry.
 
 
 
 
 
=== Nov 15, Kurt Ehlert ===
 
After graduating from the UW, I ventured into the world of trading. My first job was at Virtu, a high-frequency market-maker, and currently I work at Auros, which is a high-frequency trading firm that focuses on cryptocurrencies. During the talk, I will give an overview of the industry, job market, and interview process from the perspective of a "quant". Then I will describe the day-to-day work and give a high-level description of typical projects.
 
 
 
 
 
=== Nov 29, Bryan Oakley ===
 
The solution to the diffusion equation is known to converge exponentially to its steady state, and the rate is given by the spectral gap of the elliptic operator. Using variational techniques, we will maximize the spectral gap over choices of spatially dependent diffusion functions. Using this characterization, we can obtain bounds on the optimal rate of convergence.
 
 
 
=== Dec 6, Hongxu Chen ===
 
Boltzmann equation is a fundamental kinetic equation that describes the dynamics of dilute gas. In this talk I will focus on the boundary value problem of the Boltzmann equation and introduce the Cercignani-Lampis boundary, which is a physical boundary that describes the intermediate reflection law between diffuse reflection and specular reflection.  
 
 
 
 
 
 
 
<br>
 
  
== Past Semesters ==
+
'''9/30 Jeff Hammond:''' Jeff Hammond is a principal engineer with NVIDIA based in Helsinki, Finland, where his focus is developing better ways to write software for numerical algorithms. From 2014 to 2021, Jeff worked for Intel in Portland, Oregon; he started in the research organization and moved to the data center business group. Prior to that he worked for Argonne National Laboratory, first as a postdoc and then as a scientist in the supercomputing facility. Jeff was a graduate student at the University of Chicago and focused on developing open-source chemistry simulation software with Karol Kowalski at Pacific Northwest National Laboratory.  He majored in chemistry and mathematics at the University of Washington.  Details can be found on Jeff's home page: <nowiki>https://jeffhammond.github.io/</nowiki>.
 +
==Past Semesters==
 +
*[[Spring 2022 SIAM|Spring 2022]]
 
*[[SIAM Student Chapter Seminar/Fall2021|Fall 2021]]
 
*[[SIAM Student Chapter Seminar/Fall2021|Fall 2021]]
 
*[[SIAM_Student_Chapter_Seminar/Fall2020|Fall 2020]]
 
*[[SIAM_Student_Chapter_Seminar/Fall2020|Fall 2020]]

Latest revision as of 10:42, 20 September 2022



Fall 2022

Date (1 PM unless otherwise noted) Location Speaker Title
9/23 Virtual and 911 Van Vleck Thomas Anderson (University of Michigan) A few words on potential theory in modern applied math
9/30 (11 AM) Virtual and 911 Van Vleck Jeff Hammond (Principal Engineer at NVIDIA) Industry talk
10/7 Virtual and 911 Van Vleck Jie Wang (Georgia Institute of Technology) Sinkhorn Distributionally Robust Optimization
10/14 Virtual and 911 Van Vleck Matt Reuter (Stony Brook University)
10/19 (Wednesday at 4 PM) Virtual and 911 Van Vleck Ying Li
10/28 911 Van Vleck Yinling Zhang (UW-Madison)
11/4 911 Van Vleck Haley Colgate (UW-Madison)
11/11 911 Van Vleck Zinan Wang (UW-Madison)
11/18 911 Van Vleck Parvathi Kooloth (UW-Madison)
11/25 NO TALK THANKSGIVING WEEK
12/2 Virtual and 911 Van Vleck Jenny Yeon (Applied Scientist at Amazon)



Abstracts

9/23 Thomas Anderson: I'll talk a bit about potential theory as it is used today in the solution, via boundary integral equations / the boundary element method, of linear PDEs. These aren't only a numerical approach: I'll say a few words too about how they can be used to do analysis on problems. Then I may say a few things about volumetric potential theory: what are the problems there I've been thinking about, and application studies in mixing, for example, that they enable. Finally, I'll be happy to talk a bit about my experience so far in academia.

9/30 Jeff Hammond: Jeff Hammond is a principal engineer with NVIDIA based in Helsinki, Finland, where his focus is developing better ways to write software for numerical algorithms. From 2014 to 2021, Jeff worked for Intel in Portland, Oregon; he started in the research organization and moved to the data center business group. Prior to that he worked for Argonne National Laboratory, first as a postdoc and then as a scientist in the supercomputing facility. Jeff was a graduate student at the University of Chicago and focused on developing open-source chemistry simulation software with Karol Kowalski at Pacific Northwest National Laboratory.  He majored in chemistry and mathematics at the University of Washington.  Details can be found on Jeff's home page: https://jeffhammond.github.io/.

Past Semesters