SIAM Student Chapter Seminar: Difference between revisions
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I'll talk about the kind of work I do today, the way I got here, and any insight I can give for someone hoping to pursue a similar path. I'll also discuss some of the things I've learned, and some of the advantages and disadvantages a mathematician has in the machine learning and computer science world. We'll be sure to have a freewheeling discussion and a good time :). | I'll talk about the kind of work I do today, the way I got here, and any insight I can give for someone hoping to pursue a similar path. I'll also discuss some of the things I've learned, and some of the advantages and disadvantages a mathematician has in the machine learning and computer science world. We'll be sure to have a freewheeling discussion and a good time :). | ||
=== Feb 14, Shawn Mittal === | |||
=== Feb 14 === | |||
A short snapshot of what the data science industry looks like followed by some lessons learned on what makes an effective data scientist. | A short snapshot of what the data science industry looks like followed by some lessons learned on what makes an effective data scientist. | ||
=== Feb 21 === | === Feb 21,Brandon Boggess === | ||
I will be talking about software development and the transition from academic research to enterprise engineering. | |||
== Past Semesters == | == Past Semesters == | ||
Revision as of 22:16, 18 February 2022
- When: Mondays at 3:30 PM
- Where: 9th floor lounge (we will also broadcast the virtual talks on the 9th floor lounge with refreshments)
- Organizers: Evan Sorensen
- Faculty advisers: Jean-Luc Thiffeault, Steve Wright
- To join the SIAM Chapter mailing list: email siam-chapter+join@g-groups.wisc.edu.
Spring 2022
| date and time | location | speaker | title |
|---|---|---|---|
| Feb 7, 3:30-4 PM | Virtual (link) | Keith Rush (Senior Software Engineer at Google) | Industry talk |
| Feb 14, 3:30-4 PM | Virtual (link) Passcode: 400453 | Shawn Mittal (Senior Deliver Data Scientist at Microsoft) | Who, What, Why of Data Science in Industry |
| Feb 21, 3:30-4 PM | 9th floor lounge | Brandon Boggess (Epic) | Industry talk |
| Feb 28, 3:30-4 PM | 9th floor lounge | Shi Chen (UW-Madison) | TBA |
| Mar 7, 3:30-4 PM | Virtual (link) Passcode: 400453 | Tom Edwards | Industry talk |
| Mar 21, 3:30-4 PM | 9th floor lounge | Aidan Howells (UW-Madison) | TBA |
| Apr 4, 3:30-4 PM | 9th floor lounge | Eza Enkhtaivan (UW-Madison) | TBA |
Abstracts
Feb 7, Keith Rush
I'll talk about the kind of work I do today, the way I got here, and any insight I can give for someone hoping to pursue a similar path. I'll also discuss some of the things I've learned, and some of the advantages and disadvantages a mathematician has in the machine learning and computer science world. We'll be sure to have a freewheeling discussion and a good time :).
Feb 14, Shawn Mittal
A short snapshot of what the data science industry looks like followed by some lessons learned on what makes an effective data scientist.
Feb 21,Brandon Boggess
I will be talking about software development and the transition from academic research to enterprise engineering.