Sevda Molani, Ph.D.

Sevda Molani, Ph.D. Email and Phone Number

Associate Director, Data Science-ML Engineer @ Evolent
Seattle, WA, US
Sevda Molani, Ph.D.'s Location
Seattle, Washington, United States, United States
Sevda Molani, Ph.D.'s Contact Details

Sevda Molani, Ph.D. work email

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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.

Sevda Molani, Ph.D.'s Current Company Details
Evolent

Evolent

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Associate Director, Data Science-ML Engineer
Seattle, WA, US
Website:
evolent.com
Employees:
3841
Sevda Molani, Ph.D. Work Experience Details
  • Evolent
    Associate Director, Data Science-Ml Engineer
    Evolent
    Seattle, Wa, Us
  • Institute For Systems Biology
    Research Scientist, Statistical Data Analysis
    Institute For Systems Biology Apr 2023 - Present
    Seattle, Washington, United States
    Employed 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.
  • Institute For Systems Biology
    Postdoctoral Fellow, Statistical Data Analysis
    Institute For Systems Biology Oct 2020 - Apr 2023
    Seattle, Washington, United States
    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.
  • Louisiana Tech University
    Graduate Research Assistant
    Louisiana Tech University Sep 2016 - Nov 2020
    Ruston, La
    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.
  • Louisiana Tech University
    Course Instructor
    Louisiana Tech University Nov 2018 - May 2020
    Ruston, La
    Instructed an undergraduate course in Basic Statistics, which involved the development of comprehensive course materials, including syllabi, exams, lectures, and assignments.
  • Seagen
    Statistical Programming Intern
    Seagen May 2019 - Aug 2019
    Bothell, Wa
    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. Skills

Statistics Machine Learning Six Sigma Data Analysis R Microsoft Office Latex Markov Decision Processes Project Management Supply Chain Management Minitab Team Leadership Data Systems Management Time Series Analysis Lean Production Management Advanced Algorithms And Complexity Iso 9001 Total Quality Management Microsoft Project Microsoft Excel Engineering Management Presentations Engineering Economics Reliability Transportation Data Mining Mathematical Modeling Numerical Analysis Global Health Public Health Communication Game Theory Location Selection Cplex Gams Stochastic Modeling Tableau Sas Programming R Shiny Sas Biostatistics

Sevda Molani, Ph.D. Education Details

Frequently Asked Questions about Sevda Molani, Ph.D.

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 the current company?

Sevda Molani, Ph.D.'s current role is Associate Director, Data Science-ML Engineer.

What is Sevda Molani, Ph.D.'s email address?

Sevda Molani, Ph.D.'s email address is se****@****hoo.com

What is Sevda Molani, Ph.D.'s direct phone number?

Sevda Molani, Ph.D.'s direct phone number is +131824*****

What schools did Sevda Molani, Ph.D. attend?

Sevda Molani, Ph.D. attended Louisiana Tech University, Louisiana Tech University, University Of Tabriz.

What skills is Sevda Molani, Ph.D. known for?

Sevda Molani, Ph.D. has skills like Statistics, Machine Learning, Six Sigma, Data Analysis, R, Microsoft Office, Latex, Markov Decision Processes, Project Management, Supply Chain Management, Minitab, Team Leadership.

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