Sarah Wolf
Assistant Professor at State University of New York College at Cortland
Philadelphia, Pennsylvania, United States
Summary
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Top SchoolSarah Wolf is an assistant professor of chemistry at SUNY Cortland with a decade of teaching and research experience centered on physical chemistry and glassy materials. A recent PhD graduate from the University of Pennsylvania, she investigated ultrastable glasses and the relationship between chemical structure and mechanical properties, now applying that expertise to enhance the stability of amorphous pharmaceuticals against crystallization. She combines rigorous research with a strong track record of active-learning pedagogy across undergraduate and graduate courses, from general chemistry to advanced labs. Her background includes computational quantum dynamics work as an undergraduate and mentoring roles that reflect a commitment to student success and inclusive teaching practices. Based in Philadelphia, she blends high-precision materials science with practical classroom innovation to bridge research and instruction.
10 years of coding experience
4 years of employment as a software developer
Certificate of Proficiency, Science, Certificate of Proficiency, Science at University of OtagoMaster's of Science in Forensic Science, Forensic Science, 3.96, Master's of Science in Forensic Science, Forensic Science, 3.96 at Arcadia UniversityPhysical Chemistry, Physical Chemistry at University of Pennsylvania
Github Skills (37)
webots10
simulation10
robotics10
gazebosim10
trajectory-generation10
ignition10
openscenegraph10
manipulation10
robot10
robot-simulator10
urdf10
robocup10
robotics-simulation10
pybullet10
planning10
Programming languages (2)
Github contributions (5)
sarahwolf32/conditional-DCGAN-for-MNIST
Jul 2018 - Jul 2018
Contributions:46 commits in 12 days
sarahwolf32/DCGAN-for-MNIST
Jun 2018 - Jul 2018
A Tensorflow implementation of the DCGAN paper by Radford, et al. Generates handwritten digits from the MNIST dataset.
Contributions:61 commits, 4 PRs, 17 pushes in 27 days
deep-learninghandwritten-digitsdatasethandwrittenmnist-dataset
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