11/18/2022 @ 07:30 pm EST
We are excited to announce that incoming full-time Uber software engineer Eric Yuan (aka Zichen) will be joining us via Zoom from 7:30pm - 8:30pm EST on Nov 18st. He majored in Computer Science at UCSB, and graduated this year as the top of his class. He would love to share his experience in job hunting with NYU students. Use the RSVP form to sign up for this event, and forward this email to any of your friends whom you think might be interested! Cheers~
10/11/2022 @ 05:00 pm EST
We are excited to invite Dr. Christiana Mavroyiakoumou to introduce her PhD topic - Membrane Flutter in Inviscid Flow. Hope you enjoy the insights from Christiana's research! If you are interested in a graduate degree or you are now pursuing a graduate degree, we have a 30 minute Q&A session for undergrad's questions about what grad students' life is like, and for grad students' questions about research tips! Christiana also has access to NYU Applied Math Lab, so also feel free to ask questions about that. Enjoy~
09/09/2022 @ 03:30 pm EST
Wassup homie! Join us for the first NYU SIAM event in Fall 2022. We are Society for Industrial and Applied Mathematics, and we will discuss the plan for future events together! Meanwhile we have event planning / marketing leader positions open! The event planning / marketing leaders will work closely with student e-board to customize info sessions and workshop for all our members. And guess who are our members? All of you already are!
10/21/2022 @ 05:00 pm EST
We are excited to invite you to the Job Hunting Workshop, featuring Ryan Horowitz, the former president of SIAM. Ryan will provide tips on job hunting in banking and share his intern experience at UBS and Ernst & Young. To join us, please fill out the RSVP form below.
10/26/2022 @ 05:00 pm EST
Are you an undergrad who is interested in applying for graduate programs? Are you a graduate student who is looking for insights from an experienced upperclassman? Prof. Tyler Chen will share his journey and insights with SIAM from 5:00pm - 6:15pm on Oct 26th. Prof. Chen graduated from the University of Washington with a PhD in applied mathematics and from Tufts University with degrees in math and physics and a minor in studio art. SIAM will interview Prof. Chen about grad school applications, peer pressure, and the joy & the "dark moments" in grad school. *IMPORTANT NOTICE* The event will likely be virtual via Zoom, but we want to hear students' preference. There is a section in this RSVP form where you can indicate whether you like the event to be in-person or virtual. We will communicate with Prof. Chen after receiving the results. Decision will be made this week.If the event is virtual, use the following link
11/08/2022 @ 07:30 pm EST
It’s the question on everyone’s mind: what skills should I be learning? How should I build my resume? What companies should I be reaching out to? How do I stand out from the crowd? Aaron Fuchs, a South African Yale graduate, has worked on Wall Street, built a FinTech company, and hired 100s of people, and will share his proven methods and tools that can help students build powerful career paths. Hosted in partnership with NYU SIAM. Name of the speaker Aaron Fuchs - LinkedIn
11/16/2021 @ 06:00 pm EST
Dr. Naftali Cohen completed his PhD here at the Courant in 2014 and, after a postdoctoral stint at Yale, transitioned to industry. He's now at JP Morgan AI research and teaches AI as an adjunct faculty at Tandon. From his experience, he will talk about students' opportunities after graduating, in academics and industry. He will focus on the exciting possibilities in the world of overwhelming data. Here is a link to the abstract for the event. This even will be about Visual Forecasting of Time Series with Image-to-Image Regression. Time series forecasting is essential for agents to make decisions in many domains. Existing models rely on classical statistical methods to predict future values based on previously observed numerical information. Yet, practitioners often rely on visualizations such as charts and plots to reason about their predictions. Inspired by the end-users, we re-imagine the topic by creating a framework to produce visual forecasts, similar to the way humans intuitively do. In this work, we take a novel approach by leveraging advances in deep learning to extend the field of time series forecasting to a visual setting. We do this by transforming the numerical analysis problem into the computer vision domain. Using visualizations of time series data as input, we train a convolutional autoencoder to produce corresponding visual forecasts. We examine various synthetic and real datasets with diverse degrees of complexity. Our experiments show that visual forecasting is effective for cyclic data but somewhat less for irregular data such as stock price. Importantly, we find the proposed visual forecasting method to outperform numerical baselines. We attribute the success of the visual forecasting approach to the fact that we convert the continuous numerical regression problem into a discrete domain with quantization of the continuous target signal into pixel space. This event will be held online and in-person. In-person will only be open to NYU students due to COVID restrictions.
02/11/2021 @ 06:00 pm, 02/25/2021 @ 06:00 pm, 03/11/2021 @ 06:00 pm, 03/25/2021 @ 05:00 pm, 04/08/2021 @ 06:00 pm, 04/22/2021 @ 06:00 pm EST
The goal of the seminars is to formulate special relativity as a problem in linear algebra so that one may approach the subject on a solid mathematical ground and hopefully demystify the fanciful conclusions that physicists focus on, such as time dilation and space contraction.
10/28/2021 @ 07:30 pm EST
Global warming and associated changes to Earth's climate driven by human activity present one of the greatest challenges of this century. You may have heard about the Paris Agreement targets to limit global warming to 1.5 or 2 degrees. How fast do we need to act to meet these goals, or what might happen if we don't do anything? To answer these questions, we need climate prediction systems, numerical models that allow us to project changes in our climate depending on our future choices, including what we do about fossil fuels, land use, and other forms of pollution. In this lecture and discussion, I will explain how we build and test these climate models, and why we are confident enough in their predictions to inform policy makers, and the public, about the hard decisions we need to make to protect our planet. Note: This event will be both virtual and in-person (Warren Weaver Hall Room 201 at NYU). Only NYU students can attend in person due to COVID restrictions. Students from other schools must attend online.
09/22/2021 @ 07:00 pm EST
Dr. Andrea Jones-Rooy, professor and the Director of Undergraduate Studies at the NYU Center for Data Science, will present at NYU SIAM. Her primary area of research is in social science on internal conflict and censorship, especially in authoritarian countries. Her current research is focused on complex systems. She also works as a research consultant for both Fortune 500 companies and startups. Dr. Jones-Rooy is also a standup comedian and circus performer. She has performed comedy all throughout NYC, including at The Lantern Comedy Club. From 2013-2016, she was a resident performer at Cirque le Soir Shanghai and now tours internationally across Europe, Asia, and the Americas with their World Tour. She also performs regularly at venues around New York City. We look forward to seeing you there!
02/17/2021 @ 06:00 pm, 03/03/2021 @ 06:00 pm, 03/17/2021 @ 06:00 pm, 03/31/2021 @ 06:00 pm, 04/14/2021 @ 06:00 pm, 08/21/2021 @ 00:00 am EST
In this exciting series, Ondrej Maxian's research about the immersed boundary (IB) method -- developed by NYU's own Dr. Charles Peskin -- for solving the problem of structures in a fluid is brought to life for undergraduates looking for a hands-on learning experience in computational biology and fluid mechanics.
09/09/2021 @ 07:30 pm, 09/23/2021 @ 07:30 pm, 10/07/2021 @ 07:30 pm, 10/21/2021 @ 07:30 pm, 11/04/2021 @ 07:30 pm, 11/18/2021 @ 07:30 pm EST
Join us every other Thursday at 7:30 pm ET! Simon Sun is a consultant at Société Générale and will present a series of six seminars on options pricing and trading. A graduate of Courant’s Mathematics in Finance master’s program, he has worked as a quantitative analyst at XLP and OMNI Risks Management. He has a particular interest in options and high frequency trading. The seminars are targeted at undergraduates but anyone with an interest in mathematics or finance is welcome. Each seminar will be followed by a Q&A session with Simon.
09/29/2021 @ 07:00 pm EST
What is quantum computing? Why do people consider it one of the biggest technological breakthroughs of our time? Come find out the answers to these questions, and much more, with IBM Quantum for the NYU SIAM hosted “Quantum Computing 101” workshop. Members of the IBM Quantum team will explain the fundamentals of their industry and share opportunities for NYU students. Time will be given for questions and networking following the workshop.