Bulletin of the American Physical Society
APS March Meeting 2021
Volume 66, Number 1
Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA
Session E58: What Do Early-Career Physicists Do? A Diversity of Career OptionsCareers Invited Live Undergrad Friendly
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Sponsoring Units: FECS Chair: Benjamin Ueland, Ames Lab |
Tuesday, March 16, 2021 8:00AM - 8:36AM Live |
E58.00001: My career as a quantum computing researcher Invited Speaker: Maika Takita
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Tuesday, March 16, 2021 8:36AM - 9:12AM Live |
E58.00002: Experience Sharing: Machine Learning for Recommendation System Invited Speaker: Yue Zhang Recommendation System is one of the most important applications of machine learning in industry. A successful recommendation needs expertises from different aspects: product analysis, data reliability, algorithm and etc. Powered with these skills, machine learning engineers build comprehensive recommendation system. |
Tuesday, March 16, 2021 9:12AM - 9:48AM Live |
E58.00003: Careers in Finance for Physicists: Why, How, and What. Invited Speaker: Calvin J Patel In my talk, I will cover why the finance industry is a compelling career option for early physicists as well as the plethora of options physicists have ranging from quantitative trading strategies to alternative data analysis all the way to more fundamental roles in evaluating technologies. The overarching goal of these finance careers is one of synthesizing information to keep capital and resource allocation efficient. Finally, I will cover my own story of how I went from experimental physics to performing fundamental stock analysis for Morgan Stanley. A Q&A session will follow. |
Tuesday, March 16, 2021 9:48AM - 10:24AM Live |
E58.00004: Industry R&D: Using Physics to Prototype New Medical Devices and Other Emerging Technologies Invited Speaker: Kenneth Gotlieb I will discuss what I've learned in my transition from condensed matter physics to R&D. The talk will compare and contrast the experience of academic experimental physics research to that of developing new proof-of-concept or prototype technologies in medical imaging, computer vision, and in vitro testing. I will highlight which skills translated well and which were new. I will provide some tips for physics students considering starting a career in industrial R&D. |
Tuesday, March 16, 2021 10:24AM - 11:00AM Live |
E58.00005: Connecting the dots - from physics to online advertising Invited Speaker: Monica Cheng In this talk, Monica Cheng is going to share her career path from a physics Ph.D. graduate to a science manager. In her early career, Monica worked in many domains: hard drive design ; product integrity in consumer electronics; data science; machine learning and online advertising. Throughout these transitions, one thing remained the same: the scientific method of using hypothesis testing and data to solve complex problems in a simple and elegant way. One studies many external factors behind phenomena and the connections between them. In data science, for example, the dataset is studied carefully to ensure good coverage and quality; hidden patterns and trends from structured or unstructured data are then found to form a hypothesis. Experiments are often used to validate the hypothesis in the form of A/B testing or multivariate testing, and multi-armed bandit. There are thus many similarities in problem solving between Physics and data science. Moreover, thinking big and diving deep are probably the two most important qualities in data science that come naturally from those with a physics background. Finally, the speaker will talk about the key to landing a successful career in the different opportunities of data science. |
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