Brianna Chrisman
(408) 438-8865
brianna.chrisman@gmail.com
WHO I AM
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WHAT I KNOW
An innovative thinker who loves to learn and create
Would like a work environment that fosters creativity,
team-work, and enthusiasm
Brings multidisciplinary approach to problem solving, a
love of challenges, and a healthy sense of humor to the
table
Looking for a job in the field of data science, machine
learning, algorithm development, or computational
modeling starting in summer or fall 2015
Interested in work that helps to improve access to
education, information, medicine, or developer resources
WHAT I’VE DONE
O’Hern Lab
New Haven, CT
Student Researcher
Fall 2013-Current
Molecular Dynamics Simulations of Hydrogels
Wrote MD simulations (C++) of hard-sphere models of twocomponent hydrogels and ran them on the cluster computers, wrote
scripts to check percolation, etc.
Riken Brain Science Institute
Yale University
2011-Current
New Haven, CT
Biomedical Engineering (B.S.)
Conc. In Imaging and Signal Processing,
3.83 GPA
Applied Physics (B.S.)
Conc. in Statistical and Computational
Modeling, 3.90 GPA
Awards: ECAC All-Academic Team 2012-2014,
Ackerman Teaching and Mentoring Award Committee
Member, GHI Field Experience Award, Tetelman
Fellowship for International Research in the Sciences
Activities: Yale Women’s Gymnastics Team,
Women in Science at Yale, DROP Team, Engineering
World Health, SPLASH at Yale, Math and Science
volunteer at New Haven public schools
Leigh High School
2007-2011
San Jose, CA
Valedictorian, Summa Cum Laude, 4.0 GPA
Tokyo, Japan
Summer Research Intern
Summer 2014
Neural Correlates of the Kalman Filter for Spatial Perception in Microgravity:
Developed project idea fully independently, synthesized information
from research papers, wrote computer simulations modeling Bayesian
inference, neural networks, and Kalman filtering
HOW I’VE DONE IT
Relevant Courses
Summer Research Program Fellow
Summer 2013
Electrophysiological Correlates of Observed Motor Errors: Wrote experiment
procotol using pygame, recorded subjects with EEG cap, processed
EEG signals, used LDA to classify neural responses, presented at
poster presentation
Includes Biomedical Signals and Images,
Fundamentals of Medical Imaging,
Electromagnetic Waves and Devices,
Thermodynamics and Statistical Mechanics,
Systems Modeling in Biology, Computational
Vision and Biological Perception, Machine
Learning (Coursera), Computational
Neurosciecne (Coursera), Algorithms
(Coursera), Programming in Java (Udacity), etc.
Boyer Center for Molecular Medicine
Relevant Skills
École Polytechnique Fédérale de Lausanne
Switzerland
New Haven, CT
Paid Student Programmer
2012-2013
Wrote image analysis scripts (MatLab) to calculate cell count, Pearson
coefficient for membrane clustering, etc. on sets of microscopy
images of yeast cells with knockout genes
Mayo Clinic
Summer Undergraduate Research Fellow
Rochester, MN
Summer 2011
A Model of the Relationship Between Incident and Detected Photon
Energy: Implications for Spectral X-ray imaging
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Multivariable Calculus, Differential
Equations, Linear Algebra,
Digital Signal Processing, Image
processing, Machine Learning
HTML, JavaScript, CSS, PHP
C++, Java, MatLab, Python, Ruby
Computational Modeling, Molecular
Dynamics, Computational Neuroscience,
EEG, Protein Purification
Wrote a computational model of statistical, quantum, and electrical
distortions produced by a microCT machine, imaged various metals
References available upon request.