Kimberly Schlesinger Email & Phone Number

Seattle, Washington, United States

Seattle, Washington, United States

Seattle, Washington

Seattle, Washington

Seattle, Washington

• Project: AutoHighlights
• Scraped 5,000 online articles using scrapy and selenium
• Cleaned data in Python with natural language processing methods (NLTK)
• Performed feature engineering on text with tf-idf, latent semantic indexing, and doc2vec clustering
• Trained supervised random forest classifier to predict article excerpts with highest reader engagement
• Integrated model into Flask web app to recommend compelling quotes and automatically post to social media

Santa Barbara, California

• Project: Prediction and simulation of human evacuation behavior
• Cleaned behavioral data from evacuation experiments with 50 participants
• Developed a predictive model of group evacuation in natural disasters using Bayesian likelihood estimation
• Implemented stochastic simulations in MATLAB to model the outcomes of different decision strategies
• Received Worster Fellowship for mentoring an undergraduate research thesis
• 1 peer-reviewed conference proceedings publication, 1 conference presentationProject: Modeling Dynamics of Viral Infections

Santa Barbara, California Area

• Project: Modeling human brain organization
• Analyzed approximately 0.5 GB of functional MRI data from over 200 participants
• Used complex network analysis and unsupervised graph clustering in MATLAB to identify patterns in human brain activity
• Performed manual and automated feature engineering on demographic and behavioral data
• Used statistical null models and hypothesis testing to identify relationships between brain, age, and behavior
• 3 peer-reviewed publications, 2 successful grant renewal applications, 2 conference presentations

Santa Barbara, California Area

• Project: Validating MRI bone strength diagnostics with machine learning
• Cleaned and analyzed approximately 1 TB of micro-CT images of bone tissue
• Designed, documented, and collaboratively wrote software to simulate MRI measurement techniques
• Developed artificial neural network models to predict bone strength from image data
• Quantified the effectiveness of new MRI techniques, directing future R&D efforts

Washington D.C. Metro Area

• Conceived, proposed, and organized a public symposium with a panel of expert speakers, addressing the implications of big data for the future of neuroscience and medicine
• Provided research and wrote internal reports on trends in neurotechnology

Santa Barbara, California Area

• Taught formal linear algebra, differential equations, fluid dynamics, electromagnetism, and laboratory skills to classes of up to 75 students
• Prepared and led weekly lectures and review sessions
• Communicated complex mathematical and technical concepts to students of varying educational backgrounds

South Bend, Indiana Area

• Analyzed and interpreted neutron scattering diffraction data to quantify magnetic properties of superconducting crystals
• Measured magnetization hysteresis with SQUID magnetometer
• Participated in small-angle neutron scattering studies of superconducting materials at Oak Ridge National Laboratory and Paul Scherrer Institute in Villigen, Switzerland

Lafortune Student Center, Notre Dame, IN

• Collaborated with a team of approximately 20 student and full-time managers to hire, manage, train, and communicate with over 200 student employees
• Collected and recorded revenue and cash earned in six food court restaurants

Ph.D., Physics

Master Of Arts (M.A.), Physics

B.S. And B.A., Physics, English

Education record