SIAM Student Chapter Seminar: Difference between revisions
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'''February 3, Yunus Tuncbilek:''' I will talk about value investing and why, in many ways, mathematicians are better suited to be value investors than the general public or even the institutional investors. The talk should be informative and enjoyable for any person who wants to increase their income over a long period of time without doing much work. | '''February 3, Yunus Tuncbilek:''' I will talk about value investing and why, in many ways, mathematicians are better suited to be value investors than the general public or even the institutional investors. The talk should be informative and enjoyable for any person who wants to increase their income over a long period of time without doing much work. | ||
'''February 10, Yingda Li:''' In this talk, I will begin with a brief intro of my background, followed by a discussion of my journey to my current role as a Research Scientist/Machine Learning Engineer in industry. Finally, I will illustrate the day-to-day duties of a RS/MLE at Meta. | |||
'''February 17, Rebecca Gasper:''' There are so many careers in mathematics! Rebecca Gasper (Ph.D. Applied Mathematical and Computational Sciences, University of Iowa) decided to be a math professor by the end of her first calculus class. From tutoring through college and graduate school, preparation and luck, things fell into place. So what changed? She talks about her personal experience first in academia and then in corporate America, from pure math to data science, and gracefully changing her path. Plenty of time will be reserved for Q&A, so bring your questions about getting hired, workload, and culture in each “world.” | '''February 17, Rebecca Gasper:''' There are so many careers in mathematics! Rebecca Gasper (Ph.D. Applied Mathematical and Computational Sciences, University of Iowa) decided to be a math professor by the end of her first calculus class. From tutoring through college and graduate school, preparation and luck, things fell into place. So what changed? She talks about her personal experience first in academia and then in corporate America, from pure math to data science, and gracefully changing her path. Plenty of time will be reserved for Q&A, so bring your questions about getting hired, workload, and culture in each “world.” | ||
'''February 24, Alisha Zachariah:''' Any choice of career path comes with its own set of tradeoffs. In my current role as a data scientist at Amazon, my team identifies which products Amazon Retail should carry on the basis of their long-term profitability, in the US and worldwide. In this presentation, I would like to talk candidly about the pros and cons of this professional path, from compensation to #techlayoffs and everything in between. | '''February 24, Alisha Zachariah:''' Any choice of career path comes with its own set of tradeoffs. In my current role as a data scientist at Amazon, my team identifies which products Amazon Retail should carry on the basis of their long-term profitability, in the US and worldwide. In this presentation, I would like to talk candidly about the pros and cons of this professional path, from compensation to #techlayoffs and everything in between. | ||
'''March 3, Niudun Wang''': Having to make a call could be stressful, especially when there's seemingly endless choices and the stake is high. I will be offering from my perspective the pitfalls and hinder sights as a puzzled graduate student that you might find relatable. El Psy Kongroo. | |||
==Past Semesters== | ==Past Semesters== | ||
*[[SIAM Seminar Fall 2022|Fall 2022]] | *[[SIAM Seminar Fall 2022|Fall 2022]] | ||
Revision as of 19:40, 2 March 2023
- When: Fridays at 1 PM unless noted otherwise
- Where: 9th floor lounge (we will also broadcast the virtual talks on the 9th floor lounge with refreshments)
- Organizers: Evan Sorensen, Jordan Radke, Peiyi Chen, and Yahui Qu
- Faculty advisers: Jean-Luc Thiffeault, Steve Wright
- To join the SIAM Chapter mailing list: email siam-chapter+join@g-groups.wisc.edu.
- Zoom link: https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09
- Passcode: 641156
Spring 2023
| Date (1 PM unless otherwise noted) | Location | Speaker | Title |
|---|---|---|---|
| 2/3 | 911 Van Vleck | Yunus Tuncbilek | Value Investing: Get Rich “Slowly” |
| 2/10 | Zoom and 911 Van Vleck | Yinda Li | Industry talk |
| 2/17 | 911 Van Vleck | Rebecca Gasper (Epic) | Two Careers in Mathematics, from Experience |
| 2/24 | Zoom and 911 Van Vleck | Alisha Zachariah | No Free Lunches: what’s your tradeoff? |
| 3/3 | Zoom and 911 Van Vleck | Niudun Wang | Industry talk |
| 3/10 | Zoom and 911 Van Vleck | Kristina Wheatman (Penn State Applied Research Lab) | Industry talk |
| 4/7 | Zoom and 911 Van Vleck | Eza Enkhtaivan | Industry talk |
Abstracts
February 3, Yunus Tuncbilek: I will talk about value investing and why, in many ways, mathematicians are better suited to be value investors than the general public or even the institutional investors. The talk should be informative and enjoyable for any person who wants to increase their income over a long period of time without doing much work.
February 10, Yingda Li: In this talk, I will begin with a brief intro of my background, followed by a discussion of my journey to my current role as a Research Scientist/Machine Learning Engineer in industry. Finally, I will illustrate the day-to-day duties of a RS/MLE at Meta.
February 17, Rebecca Gasper: There are so many careers in mathematics! Rebecca Gasper (Ph.D. Applied Mathematical and Computational Sciences, University of Iowa) decided to be a math professor by the end of her first calculus class. From tutoring through college and graduate school, preparation and luck, things fell into place. So what changed? She talks about her personal experience first in academia and then in corporate America, from pure math to data science, and gracefully changing her path. Plenty of time will be reserved for Q&A, so bring your questions about getting hired, workload, and culture in each “world.”
February 24, Alisha Zachariah: Any choice of career path comes with its own set of tradeoffs. In my current role as a data scientist at Amazon, my team identifies which products Amazon Retail should carry on the basis of their long-term profitability, in the US and worldwide. In this presentation, I would like to talk candidly about the pros and cons of this professional path, from compensation to #techlayoffs and everything in between.
March 3, Niudun Wang: Having to make a call could be stressful, especially when there's seemingly endless choices and the stake is high. I will be offering from my perspective the pitfalls and hinder sights as a puzzled graduate student that you might find relatable. El Psy Kongroo.