Friday September 07, 2018 12:00 PM  1:00 PM Math Tower P131
 Chris Bishop and Christian Schnell, Stony Brook University
Employment statisticsThis is the first meeting of the weekly professional development seminar. We are going to go over some employment statistics, both on the national level and in the specific case of our department, to see what sort of jobs people with a math Ph.D. end up taking.

Friday September 14, 2018 12:00 PM  1:00 PM Math Tower P131
 Nissim Ranade, Cold Spring Harbor Laboratories
From mathematics to computational biology researchNissim graduated from Stony Brook in 2017, and her thesis was about algebraic methods used in topology and how they are connected to statistical functions. She worked as a Visiting Assistant Professor at Lafayette College until recently, when she started working as a computational biology postdoc at Cold Spring Harbor Laboratories. Her work involves mathematical analysis of genetic data from normal and tumor cells in cancer patients. The research heavily uses statistics and probability theory, but certain amounts of geometrical and topological insights are also valuable. Nissim will talk about the experiences of working at a liberal arts college and about transitioning from mathematical to computational biology research.

Friday September 21, 2018 12:00 PM  1:00 PM Math Tower 5127
 Chris Bishop and Christian Schnell, Stony Brook University
Miniworkshop: Giving short talks, IThe first part of a "miniworkshop" about giving short talks. This week, we discuss the principles of giving a good short talk (through a series of short videos), and let everyone choose a topic for a 5minute talk, to be delivered next week.

Friday September 28, 2018 12:00 PM  1:00 PM Math Tower 5127
 Simon Peyton Jones, Microsoft Research
How to give a great research talkThis time, we are going to watch a very instructive (and very entertaining) video lecture by computer scientist Simon Peyton Jones, titled "How to give a great research talk". I got a lot of good ideas from this talk myself, and I dare say you will, too. You could watch it on your own, but it will be more fun doing it together.

Friday October 05, 2018 12:00 PM  1:00 PM Math Tower P131
 Lilia Tsalenko, Blockstream
Career advice from Lilia Tsalenko$\hspace {5mm}$Lilia Tsalenko, http://www.linkedin.com/in/liliamt, has over 25 years of professional experience, with 13+ years as the founder and CEO of Elti Solutions, a Global Talent Search and Recruiting Company. She joined Blockstream in September of 2017, a company pioneering advancements in cryptography and blockchain technology, as Head of Talent Acquisition and is working on scaling the global team over the next year. Before that, Lilia worked for 10+ years as a Software Engineer for many companies in the San Francisco Bay Area.
$\hspace {5mm}$In the seminar, Lilia is going to talk a little bit about her career path and explain how finding a job in the tech sector looks like from the point of view of a recruiter. She will also draw on her experience to offer career advice for math PhD's.

Friday October 12, 2018 12:00 PM  1:00 PM Math Tower P131
 Adam Azzam, Insight Data Science
From mathematics to data scienceAdam Azzam directs the Data Science and Artificial Intelligence programs at Insight in New York City. Insight runs a free 7week Fellowship program for people transitioning into data careers by partnering with over 300 cuttingedge teams across the US and Canada. Scientists identified from over 10,000 applicants a year are selected to join the Insight Fellowship where they build new skills through collaborative learning and go on to thriving careers. In this session, Adam will talk about his transition to data science and share the lessons learned by his organization after mentoring nearly 2000 fellow PhDs over the last 6 years. Before joining Insight, Adam completed his PhD in Math at UCLA specializing in harmonic analysis and dispersive PDEs.

Friday November 02, 2018 12:00 PM  1:00 PM Math Tower P131
 Chris Bishop, Raanan Schul, Jason Starr, Stony Brook University
Weathering the stormProfessors Chris Bishop, Raanan Schul, and Jason Starr will briefly discuss their own career trajectories with an emphasis on "weathering the storm". Particular questions that they will discuss are dealing with mistakes, being stuck, coping with difficult collaborators, discovering a problem is much harder than previously thought, etc. Most of the time will be used (we hope) by questions from the audience.

Friday November 09, 2018 12:30 PM  1:30 PM Math Tower P131
 Raphael Douady, Zeyu Cao, Applied Mathematics & Statistics
Mathematics in quantitative financeWe will present the problem of interest rate modeling as a stochastic evolution of the socalled “yield curve” in a functional space. Some existence results will be presented by Zeyu Cao, who is preparing a PhD on this topic. I will also give a broad view of some mathematical challenges in finance and how they can face practical applications. Finally I will open the discussion on possible careers in quantitative finance.

Friday November 30, 2018 12:00 PM  1:00 PM Math Tower P131
 Christian Schnell, Stony Brook University
Plans for next semesterWe'll have a brief meeting to discuss the plans for next semester. I will say what we already have planned (and what visitors we expect to have), and collect suggestions for other topics.

Friday December 07, 2018 12:00 PM  1:00 PM Math Tower P131
 Elizabeth Russell, NSA
A mathematician at the NSAElizabeth Russell graduated from Boston University in 2009, working under Bob Devaney. After graduating, she did a postdoc at the United States Military Academy (West Point) and then moved into a tenuretrack position at Western New England University. After a year, she transitioned to the NSA where she has been for the past 5 years. Now she works in the Research Directorate as a member of the data science research group.
During this talk, Liz will discuss employment opportunities for mathematicians and statisticians at the NSA and what it's like to work for the government doing secret math. She will also talk about the roundabout path she took getting here (including the day she decided to leave academia).

