Lizzy Huang, Ph.D. Email & Phone Number
@freddiemac.com
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Who is Lizzy Huang, Ph.D.? Overview
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Lizzy Huang, Ph.D. is listed as Data Scientist | I solve financial problems with data and ML at Freddie Mac, based in Washington Dc-Baltimore Area, United States. AeroLeads shows a work email signal at freddiemac.com and a matched LinkedIn profile for Lizzy Huang, Ph.D..
Lizzy Huang, Ph.D. previously worked as Quantitative Analytics Senior Manager at Freddie Mac and Quantitative Analytics Manager at Freddie Mac. Lizzy Huang, Ph.D. holds Artificial Intelligence Professional Certificate from Stanford University.
Email format at Freddie Mac
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AeroLeads found 1 current-domain work email signal for Lizzy Huang, Ph.D.. Compare company email patterns before reaching out.
About Lizzy Huang, Ph.D.
I develop and implement prepayment, distressed asset models that manage risks and support the hedging and trading mortgage-backed securities and non-performing loan transactions. Conduct model performance error tracking and sensitivity analysis for mortgage servicing right model which supports mortgage servicing right financing. I am responsible for writing in-house model packages in Python and R based on cutting edge machine learning algorithms for model estimation, experienced in implementation in Apache Spark parallel computing framework. I automate documentation template and model performance monitoring using R Markdown.
Listed skills include Programming, Microsoft Office, Matlab, Community Outreach, and 37 others.
Lizzy Huang, Ph.D.'s current company
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Lizzy Huang, Ph.D. work experience
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Quantitative Analytics Manager
Quantitative Analytics Senior
- Develop models that predict prepayment and default risks of mortgage backed securities using machine learning algorithms. Models are used to support hedging of Freddie Mac’s over $200 billion retained portfolios and over $1 trillion securitized portfolio, and Freddie Mac’s non-performing loan transactions.- Implement algorithms that automate prepayment model updating based on new mortgage and economic data. Utilize Apache Spark parallel computing to speed up code execution time on large data sets.- Conduct model performance tracking, sensitivity and scenario analysis, documentation of mortgage servicing right model which supports Freddie Mac’s mortgage servicing right financing program.- Regularly present and interpret information on model performance and enhancements to model users. Conduct statistical analyses on trends of housing market and interest rate and to address public policy issues.
Research Associate
- Developed Duke Coursera online course Bayesian Statistics, wrote course R coding assignments, quiz questions and supplementary reading materials for intuitive and detailed subject explanations- Co-authored course textbook An Introduction to Bayesian Thinking- Engaged with over 1000 learners on Coursera platform to answer questions and clarify video contents
Graduate Student Researcher
- Modeled dynamical system in physics and mathematics, optimized physical metrics using mathematical analysis, transformed systems to nonlinear partial differential equations using gradient decent method- Developed 3 new analytic techniques to quantify structures of solutions to resulting nonlinear partial differential equations. Techniques can be generalized to solve other optimization problems- Directed research projects independently and presented results in various conferences, received outstanding graduate presentation award
Data+ Project Manager
- Implemented cover tree and other spatial algorithms to classify geographical clusters in North Carolina based on over 3 million birth data with labels in marital status and race. Demonstrated changes of clusters over time. - Performed statistical analysis and regressions to analyze associations between resulting clusters and socioeconomic indicators obtained from census data sets, showed that births in clusters with larger married populations have more socioeconomic advantages than births in clusters with larger white populations- Facilitated a team of undergraduate and master students, explained complex machine learning concepts and provided technical support to team members, reported results to faculty lead
Graduate Instructor
- Lectured complicated mathematics subjects including calculus, probability, statistics, linear algebra and differential equations, received excellent teaching evaluation scores (4.8/5). Sections always outperformed in block final exams.- Adjusted lecture examples, tests and assignments according to student performance. Communicated with multiple stakeholders including teaching assistants and graders, reported teaching results to course supervisors effectively
Lizzy Huang, Ph.D. education
Artificial Intelligence Professional Certificate
Accounting Certificate
Doctor Of Philosophy (Ph.D.), Mathematics
Bachelor Of Science (B.S.), Bachelor Of Economics, Mathematics, Economics
Frequently asked questions about Lizzy Huang, Ph.D.
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What company does Lizzy Huang, Ph.D. work for?
Lizzy Huang, Ph.D. works for Freddie Mac.
What is Lizzy Huang, Ph.D.'s role at Freddie Mac?
Lizzy Huang, Ph.D. is listed as Data Scientist | I solve financial problems with data and ML at Freddie Mac.
What is Lizzy Huang, Ph.D.'s email address?
AeroLeads has found 1 work email signal at @freddiemac.com for Lizzy Huang, Ph.D. at Freddie Mac.
Where is Lizzy Huang, Ph.D. based?
Lizzy Huang, Ph.D. is based in Washington Dc-Baltimore Area, United States while working with Freddie Mac.
What companies has Lizzy Huang, Ph.D. worked for?
Lizzy Huang, Ph.D. has worked for Freddie Mac, Duke University Department Of Statistical Science, and Duke University.
How can I contact Lizzy Huang, Ph.D.?
You can use AeroLeads to view verified contact signals for Lizzy Huang, Ph.D. at Freddie Mac, including work email, phone, and LinkedIn data when available.
What schools did Lizzy Huang, Ph.D. attend?
Lizzy Huang, Ph.D. holds Artificial Intelligence Professional Certificate from Stanford University.
What skills is Lizzy Huang, Ph.D. known for?
Lizzy Huang, Ph.D. is listed with skills including Programming, Microsoft Office, Matlab, Community Outreach, Presentations, Organizational Leadership, Acrylic Painting, and Choral Singing.
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