Name: Nhung Pham
Pronouns: she/her/hers
Institution: Yale University
Department: Mathematics
Biography:
A driven PhD candidate in Mathematics passionate in applying solid Mathematical and Computer Science knowledge and research skills in solving real-world problems. Research focuses on Partial Differential Equations (PDEs), Stochastic Processes and Combinatorics. Deep understanding of numerical models, probability theory, algorithm, and multivariate analysis. Seeking an internship emphasized on Predictive Models, Mathematical Modelling and Machine Learning.
Academic Status: PhD Student
Year in program: 2nd
Research Area/Department: Applied Mathematics; Computer Science; Data Science; Machine Learning/AI; Mathematics
Other, specify:
Major/Specialty: My PhD major is Mathematics, specializing in Partial Differential Equations (PDEs) and Probability Theory. I also have a B.S in Computer Science, focusing in Algorithm and Machine Learning.
Degrees Earned or in Progress: In Progress: PhD/Mathematics/2027 Earned: B.S./Mathematics/2022, B.S./Computer Science/2022
What courses or academic preparation have you completed to prepare for a summer internship experience?
Analysis, PDE and Stochastic PDE, Probability Theory, Sparse Analysis in Image Processing, Convex Optimization, Machine Learning, Advanced Algorithms and Data Structures, Operating Systems, Spatial Data Science, Graph Theory, Cryptology and Number Theory.
Have you published any research or worked on research/technical projects? Yes
Where has your research been published or where have you conducted research/technical projects? I conducted the research as an undergraduate student at the University of Minnesota – Twin Cities. My paper is published on Integers Journal and can be found at this link http://math.colgate.edu/~integers/x58/x58.pdf
Please describe your research/academic interests:
I am strongly interested in Mathematics, Applied Mathematics and Data Analyze/Data Science roles. However, I am open to learn and discover other related fields.
Computational and Data Science Areas:
Applied Mathematics; Computer Science; Data Analytics and Visualization; High-Performance Computing; Machine Learning and AI
Research Synergy:
I hope to have an opportunity to apply my Analysis, Probability and PDE knowledge into a computational and data sciences project. I am especially interested in stochastic models and optimization, hence, feel aligned with either the Mathematical Modelling and Optimization project or the project to construct predictive models from experimental and observational data at the Argonne National Lab. Those projects involve modern areas that I wish to gain more insights into, especially the ML learning models and optimization schemes, and their applications. I am eager to bring my mathematics background into realistic applications.
Motivation:
I am always seeking for a hand-on experience where I can apply my research skills to projects with real-world applications. I was really excited when I found out about SRP where I could achieve exactly what I desired during my PhD journey. Moreover, the program promotes an inclusive workplace environment and provides a precious opportunity to work with experts in the field as well as a chance to work at one of the national laboratories. This is extremely valuable for my career orientation as a scientist. On the other hand, I believe I can thrive in the projects with my skills, hard work and passion.
Lightning Talk Title: Nhung Pham – Math Modelling and Stochastic Models