Kathryn Meehan, Ph.D. Email and Phone Number
Kathryn Meehan, Ph.D. work email
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Kathryn Meehan, Ph.D. personal email
As a Senior Data Scientist at First American Title, I apply my 7 years of data and statistical analysis experience to design and build machine learning models that identify and mitigate title risks. I use XGBoost, SQL, Snowflake, and Python to engineer features, train classifiers, and perform regression and clustering on large-scale data sets.I also leverage my communication and leadership skills to present results to internal and external stakeholders and collaborate with cross-functional teams. Previously, I led a team of graduate students from seven different institutions in a proof-of-concept study that resulted in a multi-year, fully-funded program.
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Senior Data ScientistFirst American TitleCalifornia, United States
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Senior Data ScientistFirst American Title Jan 2021 - PresentSanta Ana, Ca, Us• Designed training labels and trained an XGBoost model to identify open mortgage risk• Built a data processing pipeline and engineered new features in Snowflake (SQL) to expand the application of my supervised classifier model to data from an additional business unit.• Performed logistic regression to identify correlations between consumer loan data and risk for internal business partners. Engineered features with SQL and python using data stored on Snowflake. • Leveraged unsupervised learning techniques including clustering and topic modeling algorithms to auto-discover risk categories in title production. -
Insight Artificial Intelligence FellowInsight Data Science Jan 2020 - Dec 2020San Francisco, Ca, Us• Built a python app in three weeks using streamlit to enable companies without ML expertise to compare performance metrics of different object detection algorithms in pytorch• Used Google Cloud Platform Compute Instances to accelerate training and testing -
Radiation Detection Postdoctoral ScholarBerkeley Lab Jan 2019 - Dec 2019Berkeley, Ca, Us• I analyzed data from radiation and lidar sensors using python/pandas to benchmark algorithms used to localize radioactive sources, using jupyter notebook for exploratory data analysis• I demonstrated that a new sparse parametric reconstruction algorithm, Additive Point Source Localization (APSL) performs comparably to traditional Maximum Likelihood Expectation Maximization (MLEM) approaches, even in low-count scenarios. I co-presented these results at the IEEE Nuclear Science Symposium and Medical Imaging Conference.• I simulated the angular response of multiple detector systems and collected and analyzed data to validate the simulation which improved the accuracy of our reconstruction algorithms • I built a simulation pipeline in python to streamline submission and post-processing of thousands of simulations on a high performance computing cluster.• Regularly made pull requests to shared git repositories while working on the above code contributions -
Star CollaboratorUc Davis Jun 2014 - Dec 2018• Successfully led a proof-of-principle study into being converted to an official, fully-funded program at Brookhaven National Lab• I had full ownership of the data preprocessing and selection steps and had to determine them from scratch since the study involved a novel detector setup.• I conducted a classification analysis where I classified particles produced in the collision by their type.I presented these results at Quark Matter 2017, the largest conference in our field. These results were crucial in convincing the Program Advisory Committee (PAC) at Brookhaven National Lab to approve an official Fixed-Target Program with eight different beam energies for 2018-2019.
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Graduate Student ResearcherUc Davis Jun 2014 - Dec 2018
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Teaching AssistantUc Davis Oct 2012 - Jun 2014I lead discussion sections for Physics 7 (life science students) and Physics 9 (engineers and physics majors). Additionally, I grade exams and host office hours and midterm review sessions. Occasionally I write recommendations for Physics 7 students. For physics 7 I teach 2 sections of 30 students each and for Physics 9 I usually teach 6-7 sections of 100-170 students combined.I have also been a TA for a physics of sports class for non-science majors.I have also lead discussion sections, graded and substitute lectured "Physics of Sports" for non-science majors.
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Gdso Data Science WorkshopUniversity Of California, Berkeley Jun 2018 - Jul 2018Berkeley, Ca, UsI participated in a three-week data science workshop organized by U. C. Berkeley’s Graduate Data Science Organization (GDSO) where I worked on a project as part of a team of four, under the guidance of an industry mentor. We built an end-to-end pipeline to analyze biometric data that included data segmentation, feature extraction and training different classification models. I used sci-kit learn for training the models and performing cross-validation to optimize the hyperparameters.The Random Forest and Support Vector machines, with feature selection performed by a genetic algorithm, outperformed the models in the original publication that provided the benchmarking data set. -
Doe Office Of Science Graduate Student ResearcherLawrence Berkeley National Lab Nov 2016 - Oct 2017Berkeley, Ca, UsThanks to the DOE SCGSR Award I was able to collaborate with a LBNL scientist, Grazyna Odyniec, for a year to advance my research on identified particle spectra and rapidity densities.
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Research AssistantBryn Mawr College Aug 2011 - May 2012Bryn Mawr, Pa, UsAdvisor: Dr. James BattatI am working as part of the Dark Matter Time Projection Chamber (DMTPC) collaboration and am using ROOT to create a map of the neutron background signal for a directional dark matter detector. -
Summer InternMit Jun 2011 - Aug 2011Cambridge, Ma, UsPrincipal Investigator: Dr. Richard MilnerCollaboration Co-head: Dr. Peter FisherAdvisor: Dr. Jan BalewskiI worked as part of the DarkLight collaboration to design a detector to detect the A' boson, a carrier of the "dark force". I used ROOT to analyze the detector acceptance and efficiency after making cuts on background processes.
Kathryn Meehan, Ph.D. Skills
Kathryn Meehan, Ph.D. Education Details
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University Of California, DavisPhysics -
University Of California, DavisPhysics
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Haverford CollegeAstronomy
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National Cathedral School
Frequently Asked Questions about Kathryn Meehan, Ph.D.
What company does Kathryn Meehan, Ph.D. work for?
Kathryn Meehan, Ph.D. works for First American Title
What is Kathryn Meehan, Ph.D.'s role at the current company?
Kathryn Meehan, Ph.D.'s current role is Senior Data Scientist.
What is Kathryn Meehan, Ph.D.'s email address?
Kathryn Meehan, Ph.D.'s email address is km****@****lbl.gov
What schools did Kathryn Meehan, Ph.D. attend?
Kathryn Meehan, Ph.D. attended University Of California, Davis, University Of California, Davis, Haverford College, National Cathedral School.
What skills is Kathryn Meehan, Ph.D. known for?
Kathryn Meehan, Ph.D. has skills like Research, C++/root, Physics, Latex, Python, Unix, Microsoft Excel, Public Speaking, Bash, Git, Mathematica, Powerpoint.
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