Sevda Molani, Ph.D. Email & Phone Number
@latech.edu
2 phones found area 318
LinkedIn matched
Who is Sevda Molani, Ph.D.? Overview
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Sevda Molani, Ph.D. is listed as Associate Director, Data Science-ML Engineer at Evolent, a with 3841 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at latech.edu, phone signal with area code 318, and a matched LinkedIn profile for Sevda Molani, Ph.D..
Sevda Molani, Ph.D. previously worked as Research Scientist, Statistical Data Analysis at Institute For Systems Biology and Postdoctoral Fellow, Statistical Data Analysis at Institute For Systems Biology. Sevda Molani, Ph.D. holds Doctor Of Philosophy (Phd), Mathematics And Computer Science from Louisiana Tech University.
Email format at Evolent
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AeroLeads found 1 current-domain work email signal for Sevda Molani, Ph.D.. Compare company email patterns before reaching out.
About Sevda Molani, Ph.D.
Our team at the Institute for Systems Biology leverages advanced statistical modeling, including Bayesian statistics and predictive modeling, to unpack complex patient data for conditions like COVID-19 and autoimmune diseases. With a PhD in Mathematics and Computer Science from Louisiana Tech University, my skill set is deeply rooted in data interpretation and the application of large language models.In healthcare analytics, my work focuses on transforming electronic health records into actionable insights, aiding clinical trial design and outcome assessment. Specializing in statistical and causal inference methods, I contribute to our understanding of medication effects and disease outcomes, thereby facilitating better patient care.
Listed skills include Statistics, Machine Learning, Six Sigma, Data Analysis, and 37 others.
Sevda Molani, Ph.D.'s current company
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Sevda Molani, Ph.D. work experience
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Research Scientist, Statistical Data Analysis
CurrentEmployed statistical modeling techniques, including Bayesian statistics, stochastic modeling, survival analysis (time to event analysis), and predictive modeling, to analyze patient data for conditions like COVID-19, and autoimmune diseases.Conducted analysis on electronic health records for various medications and conditions to support patient recruitment and outcome assessment in clinical trials.Applied statistical and causal inference methods, such as hypothesis testing and descriptive methods, to analyze the effects of Statins on gut microbiome and the impact of ACE inhibitors on COVID-19 outcomes.
Postdoctoral Fellow, Statistical Data Analysis
Performed prospective and retrospective statistical health outcomes analyses.Extracted and cleansed both structured and unstructured data for comprehensive analysis, focusing on patients diagnosed with Alzheimer’s disease, ulcerative colitis, and multiple sclerosis.Developed supervised and unsupervised machine learning models and data pipelines for risk factor stratification and outcome prediction in COVID-19 patients.Collaborated to create innovative machine learning and feature extraction modules for science classrooms.
Graduate Research Assistant
Constructed different stochastic process models to:I. Evaluate the effectiveness of breast screening policies considering the expertise of radiologists.II. Estimate the risk of overdiagnosis in mammography screening, considering heterogeneity in patient adherence.III. Estimate the transition probability matrix in sparse unbalanced Markov chains using Bayesian Inference.
Course Instructor
Instructed an undergraduate course in Basic Statistics, which involved the development of comprehensive course materials, including syllabi, exams, lectures, and assignments.
Statistical Programming Intern
Performed a wide array of statistical programming tasks, required to:I. Understand statistical analysis plan (SAP), Protocol, CDISC standards, and clinical trial shells.II. Work on data review, Case report forms (CRF), tables, figures, and regulatory submissions.III. Create SDTM and ADAM datasets utilizing R and SAS.IV. Conduct statistical analysis and developed mini packages for statistical plots using R and R shiny.
Sevda Molani, Ph.D. education
Doctor Of Philosophy (Phd), Mathematics And Computer Science
Master Of Science - Ms, Mathematics
Bachelor'S Degree, Industrial Engineering
Frequently asked questions about Sevda Molani, Ph.D.
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What company does Sevda Molani, Ph.D. work for?
Sevda Molani, Ph.D. works for Evolent.
What is Sevda Molani, Ph.D.'s role at Evolent?
Sevda Molani, Ph.D. is listed as Associate Director, Data Science-ML Engineer at Evolent.
What is Sevda Molani, Ph.D.'s email address?
AeroLeads has found 1 work email signal at @latech.edu for Sevda Molani, Ph.D. at Evolent.
What is Sevda Molani, Ph.D.'s phone number?
AeroLeads has found 2 phone signal(s) with area code 318 for Sevda Molani, Ph.D. at Evolent.
Where is Sevda Molani, Ph.D. based?
Sevda Molani, Ph.D. is based in Seattle, Washington, United States while working with Evolent.
What companies has Sevda Molani, Ph.D. worked for?
Sevda Molani, Ph.D. has worked for Evolent, Institute For Systems Biology, Louisiana Tech University, and Seagen.
How can I contact Sevda Molani, Ph.D.?
You can use AeroLeads to view verified contact signals for Sevda Molani, Ph.D. at Evolent, including work email, phone, and LinkedIn data when available.
What schools did Sevda Molani, Ph.D. attend?
Sevda Molani, Ph.D. holds Doctor Of Philosophy (Phd), Mathematics And Computer Science from Louisiana Tech University.
What skills is Sevda Molani, Ph.D. known for?
Sevda Molani, Ph.D. is listed with skills including Statistics, Machine Learning, Six Sigma, Data Analysis, R, Microsoft Office, Latex, and Markov Decision Processes.
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