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What can you do with a PhD in math anyway?

A career panel for graduate students in mathematics

Have you ever wondered what you can do with an advanced degree in mathematics? Well, you're in luck! The Mathematics Graduate Student Association (MGSA) is hosting a panel discussion with U of T mathematics alumni who are working in the exciting fields of data science, consulting, education, finance and many other interesting fields. Please come to this panel to discover

  1. career options available to advanced degree holders in mathematics,
  2. what skills you can cultivate for a specific career,
  3. what kinds of mathematics are used in industry-specific careers,

and much more. See our panelists' bios below.

Date: Thursday, May 12, 2016
Time: Panel discussion 6-7 PM, Reception and networking to follow
Location: Bahen Centre, BA6183
Register: http://goo.gl/forms/PM4FvD8S1M
Registration Deadline: Monday, April 25, 2016

Sponsored by the Department of Mathematics, University of Toronto and the MGSA.

Panelist Info

Chiara Moraglia

Chiara Moraglia completed her Honours Bachelor of Science degree at the University of Toronto in 2013, majoring in Mathematics and Linguistics. She continued on to the Master's program in Mathematics at the University of Toronto, graduating in the Fall of 2014. She is currently working as an actuarial analyst at Mercer, a leading global consulting firm. She is studying to attain the professional designation of Fellow of the Society of Actuaries (FSA) which includes writing a series of 8 exams, all of which are heavily dependent on mathematics.

Joseph Geraci

Dr. Joseph Geraci has a PhD in mathematical physics with post­docs in oncology and psychiatry. His work initially involved the creation of extreme algorithms that solved highly complex problems, but for the last 7 years he has focused on machine learning and artificial intelligence. He created his own paradigm for machine learning that he utilizes to obtain a better understanding of the different ways that disease can manifest in patient populations. This paradigm is being used to create clinical decision­making tools for medical doctors and pharmaceutical companies. Dr. Geraci's expertise in modern machine learning tools and mathematical modeling has allowed him to work with medical institutions, sports analytics firms, banks, and he has been the Chief Science Officer of several companies. Dr. Geraci has a real passion for mathematics, science, and data science and shares this passion through various media appearances.

Patrick Walls

Patrick is an instructor in the Department of Mathematics at the University of British Columbia. He completed BSc degrees in mathematics and mechanical engineering at the University of Calgary and a MSc degree in mathematics at UBC before studying with Stephen Kudla at the University of Toronto. He completed his PhD in 2013 in number theory and representation theory. As a postdoctoral fellow at McMaster University, Patrick was the first­year mathematics instructor in the Integrated Science Program, a 4­year interdisciplinary, project based, undergraduate program. He now teaches a variety of courses at UBC, including differential equations for engineers with MATLAB programming, scientific computing in Python, and calculus for commerce and social science.

Eric Hart

Eric has an undergraduate degree in Engineering from Queen's University, and completed his PhD in probability from the University of Toronto in 2014. He currently works at Angoss Software as a Data Scientist. While at UofT, Eric augmented his research with a number of TA and instructor positions, and was the winner of the Daniel B. Delury Award in 2013. In his free time, Eric is an avid board game player, and is the world champion of the game Blokus. He also helps run the website pentolla.com for playing Blokus online. Eric plays soccer and squash regularly, and likes cycling trips, when he has time for them.

Xiao Liu

Xiao Liu is a dedicated professional with 2+ years’ experience in the financial derivative modeling. As an associate in the Global Analytics and Financial Engineering team in Scotiabank, Xiao is supporting the Equity Derivative trading desk. Xiao develops pricing models for exotic derivatives, as well as analyses risk measure. The models are based on both numerical PDE and Monte­Carlo simulations, and implemented with C++. Xiao got his bachelor in mathematics from University of Science and Technology in China in 2007, and Ph.D. in applied mathematics from University of Toronto in 2013.

Mario Morfin

Mario Morfin obtained his PhD in Mathematics from the University of Toronto in 2010. As an independent consultant, he has applied his expertise to the modelling of complex systems for multi­scale optimization problems, as well as financial time series prediction and pricing of financial instruments. He has also worked as a price modelling consultant for energy market applications. In 2015 Mario co­founded MOAI­Solutions Inc. with colleagues from York University and University of Toronto. MOAI's goal is to leverage a breakthrough invention in numerical optimization to solve the large­scale, decision-making problems generated by the Internet of Things (IoT).


Presented by the Mathematics Graduate Student Association (MGSA).