Sanvesh Srivastava — AI Researcher
I obtained my Ph.D. in Statistics at Purdue University under the direction of Professor R.W. Doerge. My Ph.D. research focussed on developing a computationally efficient and practical Bayesian framework for analyzing high-dimensional genomic data. I analyzed microarray and next-generation sequencing data by extending variational methods from machine learning. Specialties: * Statistical Data Analysis (exploratory and confirmatory); in particular hierarchical Bayesian modeling and data visualization. * Interplay of machine learning and statistical methods in statistical computing in order to take advantage of computer architecture. * Analysis of data from recent biotechnological advances (e.g., next-generation sequencing). * Statistical Computing (R in particular). * Statistical consulting and statistical design of experiments.
Stackforce AI infers this person is a Data Scientist with expertise in Bayesian statistics and statistical consulting in the Healthcare and Finance sectors.
Location: Durham, North Carolina, United States
Experience: 6 yrs 1 mo
Skills
- Statistical Modeling
- Bayesian Statistics
- Statistical Consulting
Career Highlights
- Ph.D. in Statistics with a focus on Bayesian modeling.
- Expert in analyzing high-dimensional genomic data.
- Strong background in statistical consulting and design of experiments.
Work Experience
Duke University
Post-doc (0 mo)
Purdue University
Ph.D. student working in the area of statistical modeling and machine learning (5 yrs)
Global Markets Center, Deutsche Bank Group
Analyst in the Interest Rates Strategy Group (1 yr 1 mo)
Education
Ph.D. at Purdue University
Master of Science at Indian Institute of Technology, Kanpur
Intern at McMaster University
at Little Flower School