Ryan Gallagher Í Education Experience

Ryan Gallagher
90 N Winooski Avenue
Burlington, VT 05401
T (603) 475-4116
B [email protected]
Í www.uvm.edu/~rjgallag
Education
2015–Present M.S. Mathematics, The University of Vermont, Burlington, VT, 4.0/4.0.
Graduate Certificate of Study: Complex Systems
Advisors: Prof. Christopher Danforth, Prof. Peter Dodds
2011–2015 B.A. Mathematics, University of Connecticut, Storrs, CT, Summa Cum Laude.
Minor: Statistics
Experience
Aug 2015–Present Computational Story Lab Member, The University of Vermont, Burlington, VT.
Current Projects: The Discourse and Dynamics of #BlackLivesMatter and #AllLivesMatter, The
Insomniometer: Real-Time Estimation of Sleep Insufficiency in Populations.
May 2014–Aug 2014 Research Fellow, North Carolina State University, Raleigh, NC.
REU Project: Polygon Curvature Flow, Advisor : Dr. Andrew Cooper.
June 2013–July 2013 Research Fellow, Michigan State University, East Lansing, MI.
REU Project: Random Walks on Spheres, Advisor : Dr. Igor Nazarov.
Teaching and Facilitation
Aug 2015–Present Graduate Teaching Assistant, The University of Vermont, Burlington, VT.
Handle the full responsibility of teaching courses, including delivering lectures, administrating
assignments, and delegating grades.
{ Applications of Finite Math, MATH 017, Spring 2016
A general education math course covering voting theory, fair division, financial mathematics,
statistics, and graph theory.
{ Applications of Finite Math, MATH 017, Fall 2015
Jan 2015–May 2015 Supplemental Instruction Leader, University of Connecticut, Storrs, CT.
Led weekly supplemental review and practice sessions to students taking Calculus II.
Dec 2014–May 2015 UConn Connects Master Coach, Univesity of Connecticut, Storrs, CT.
Worked in a master coach pair to provide support to 8 new UConnn Connects facilitators through
weekly meetings that developed their mentoring capabilities.
Aug 2014–Dec 2014 UConn Connects Facilitator, University of Connecticut, Storrs, CT.
Met individually with 3 students on academic probation each week to mentor them both academically
and personally.
Aug 2012–Jan 2014 Student-Athlete Tutor, University of Connecticut, Storrs, CT.
Invited Talks
Dec 2015 Protests and Counter Protests on Social Media: An Introduction to Natural
Language Processing.
Introduction to Mathematical Modeling Invited Speaker, University of Connecticut, Storrs, CT.
Jan 2015 Polygon Curvature Flow.
AMS Session on Convex and Discrete Geometry, Joint Math Meeting 2015, San Antonio, TX.
Jan 2015 Do Polygons Become Asymptotically Regular Under Flow By Curvature?.
MAA Undergraduate Poster Session, Joint Math Meeting 2015, San Antonio, TX.
Jan 2014 Random Walks on Spheres.
MAA Undergraduate Poster Session, Joint Math Meeting 2014, Baltimore, MD.
Aug 2013 Harmonic Functions and Random Walks on Spheres.
MAA Session #18, Mathfest 2013, Hartford, CT.
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Honors and Awards
April 2015 Inducted to Pi Mu Epsilon, University of Connecticut.
Inducted into the national mathematics honor society Pi Mu Epsilon for excellence in undergraduate
math coursework.
Jan 2015 Outstanding Presentation Award, Joint Math Meeting 2015.
Awarded for an outstanding undergraduate research poster at the Joint Math Meeting 2015.
The award indicates a poster in the top 15%. The poster is also featured on the Mathematical
Association of America’s website as an example of an oustanding research poster.
Nov 2014 MAA Travel Grant, Mathematical Association of America.
Awarded a competitive travel grant to attend the Joint Math Meeting 2015 in San Antonio, TX.
April 2014 Bernard Sippin ‘52 Scholarship, University of Connecticut.
Awarded as one of two recipients for outstanding work in the UConn Department of Mathematics.
Mar 2012-Mar 2014 Orange Scholar, Home Depot.
Awarded in 2012, 2013, and 2014 for excellent work done in college by a child of a Home Depot
employee.
Nov 2013 MAA Travel Grant, Mathematical Association of America.
Awarded a competitive travel grant to attend the Joint Math Meeting 2014 in Baltimore, MD.
Relevant Skills and Courses
Programming Python, MATLAB, R, Java, Scheme
Graduate Courses Data Science I, Modeling Complex Systems, Principles of Complex Systems, Complex
Networks
Undergraduate Applied Time Series, Analysis of Experiments, Mathematical Statistics I & II, Geographic
Courses Data Analysis, Probability, Elementary Stochastic Processes, Applied Linear Algebra, Data
Structures and Algorithms
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