1. Julian A. Sass
jsass1@umbc.edu
Permanent: Campus:
863 Redleafe Circle 1000 Hilltop Circle
Chesapeake, VA TER GUN 33D
(757) 560-7199 (cell) Baltimore, MD 21250
GOAL
To gain research experience in applied mathematics and to understand the interface of
mathematics and the natural and social sciences, with a focus on epidemiology and ecology.
EDUCATION
University of Maryland, Baltimore County (UMBC) Baltimore, MD
Bachelor of Science in Mathematics expected May 2016
GPA: 3.536/4.0
Relevant Current Courses: Numerical Analysis (Graduate Level), Concepts of Biology
Relevant Completed Courses: Mathematical Modeling with a Focus on Social Implications,
Linear Algebra, Differential Geometry, Discrete Dynamical Systems, Continuous Dynamical
Systems, Introduction to Partial Differential Equations, Introduction to Probability Theory,
Mathematical Problem Solving Seminar, Mathematical Modeling, Computational Methods,
Introduction to Parallel Computing, Real Analysis I and II, Introduction to Linear Algebra,
Introduction to Differential Equations, Calculus I – III, Discrete Mathematics,
Relevant Upcoming Courses: Ordinary Differential Equations (Graduate Level), Microbiology,
Microbiology Lab
Programming Experience – Matlab (Proficient), LaTeX (Proficient), Maple (Proficient), R,
Python, Java, C
Senior Thesis Topic – Characterizing Perturbations in Edge Cell input in the Neural Model of
Lamprey Locomotion.
HONORS
• Meyerhoff Scholar
◦ Extremely competitive program with a focus on high achieving minorities with interest in the
STEM fields
◦ Emphasis on undergraduate research and obtaining Ph.D.’s and M.D./Ph.D.’s
• National Security Agency (NSA) Scholar
• National Institute of Biomedical Imaging and Bioengineering (NIBIB) Scholar

2. ORGANIZATIONS
• Pi Mu Epsilon
◦ President: UMBC Chapter May 2013 – Present
• Golden Key Honors Society
RESEARCH EXPERIENCE
UMBC: Interdisciplinary Program in High Performance Computing
June – August 2013
http://www.umbc.edu/hpcreu/index.html
REU Participant
• Research under Dr. Nagaraj Neerchal for Dr. George Ostrouchov involving using parallel
computing to perform efficiency studies using statistical computations on large data sets using
pbdR (Programming with Big Data in R)
• Completed Math 447 – Introduction to Parallel Computing, a 3 credit, graduate level course in
parallel and high performance computing in C and R.
• Presented research at the UMBC Summer Undergraduate Research Fest, and the Annual
Biomedical Research Conference for Minority Students (ABRCMS)
University of Minnesota, Twin Cities: MAXIMA Interdisciplinary Mathematics Research
June – July 2014
http://ima.umn.edu/
REU Participant
• Research under Dr. Thomas Hoft and Dr. Lori Ziegelmeier involving robot learning by
mimicking humans with KINECT sensors
• Presented research at the Joint Mathematics Meetings (JMM) in January 2015
RESEARCH PAPERS
• Jared Brown, Christie Mauretour, Julian Sass, and Ziyue Shuai. Robot Mimicking of Human
Action with the Kinect Sensor. 2014.
• Matthew Bachmann, Ashley Dyas, Shelby Kilmer, and Julian Sass. Manipulating Block Cyclic
Distribution of Data and analyzing its Effects on Computational Efficiency in pbdR. 2013
WORKSHOPS/CONFERENCES
• SIAM Applications of Dynamical Systems Conference, Snowbird, UT, May 2015 (Attended)
• Joint Mathematics Meetings, San Antonio, TX, January 2015 (Attended and Poster Presentation)
• Integrating Dynamics and Stochastics Workshop, Brown University, 2014 (Attended)
• Joint Mathematics Meetings, Baltimore, MD, January 2014 (Attended)
• Annual Biomedical Research Conference for Minority Students, Nashville, TN, December 2013
(Attended and Poster Presentation)

3. WORK EXPERIENCE
University of Maryland, Baltimore County: Mathematics Department Spring 2013 - Present
Teaching Assistant
• Teaching a 50 minute class of 35-40 students, as well as grading weekly quizzes for Calculus I
and II
• Holding exam review sessions that are open to all students
Math Gym Coach
• Helped students understand the basics of Pre-Calculus, Calculus I & II, and Applied Calculus
• Gained teaching experience in a positive learning environment
Grader
• Graded exams, quizzes, homework, as well as tutored for introductory Linear Algebra

4. REFERENCES FOR JULIAN A. SASS
Dr. Kathleen Hoffman
Professor
UMBC
Department of Mathematics and Statistics
khoffman@math.umbc.edu
Dr. Thomas Höft
Assistant Professor
University of St. Thomas
Department of Mathematics
hoft@stthomas.edu