- About me
- I am a statistician with a PhD in Statistics, specializing in high-dimensional data analysis, biostatistics, and machine learning. I focus on developing advanced statistical methods for analyzing complex datasets, such as those found in clinical trials and gene expression studies. Proficient in R programming, I enjoy applying data-driven solutions to real-world challenges. Outside work, I’m passionate about cooking, exploring space, soccer, participating in sports, metal music, and unwinding with video games.
- Education
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- 2019–2024: PhD in Statistics, University of Maryland, Baltimore County
- 2017–2019: Completed 31 credits towards a PhD in Mathematical Sciences, Indiana University, Indianapolis
- 2011–2014: MSc in Statistics, University of Tehran, Iran
- 2006–2010: BSc in Statistics, University of Isfahan, Iran
- Research
- I am working with Dr. Seungchul Baek on high-dimensional statistics, specifically focusing on datasets where the number of features exceeds the number of observations. We have developed classification algorithms incorporating feature selection, tailored for high-dimensional datasets. Our work has centered on applying these algorithms to gene expression data in cancer research, where the number of genes (features) typically far exceeds the number of patient samples (observations).
- Publications
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- Andalib V. and Baek S., A high-dimensional classifier with variable selection using mirror statistics (Revision Submitted).
- Andalib V. and Baek S. (2024). Data-adaptive binary classifiers in high dimensions using random partitioning, Journal of Statistical Computation and Simulation, 95(1), 25–48. see
- Jin H., Andalib V., et al. (2022). Computational simulation using machine learning models in prediction of CO2 absorption in environmental applications, Journal of Molecular Liquids, 358, 119159. see
- Andalib V. and Sarkar J. (2022). A system with two spare units, two repair facilities, and two types of repairers, Mathematics, 10(6), 852. see
- Andalib V. and Sarkar J. (2021). A repairable system supported by two spare units and serviced by two types of repairers, Journal of Statistical Theory and Applications, 20(2), 180–192. see
- Work Experience
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- Summer 2022: Statistical Scientist Intern | Genentech | South San Francisco, CA
- 2016–2017: Statistician | Orchid Pharmed | Tehran, Iran
- Courses I have taught and TAed for at UMBC
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- Instructor and TA for STAT 350: Statistics with Applications in the Biological Sciences
- TA for STAT 351: Applied Statistics for Business and Economics
- TA for STAT 355: Introduction to Probability and Statistics for Scientists and Engineers
- TA for STAT 414: Environmental Statistics
- TA for STAT 433: Statistical Computing
- TA for STAT 451: Introduction to Probability Theory
- Some of my activities at UMBC
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- 2024–Present: Officer | Mu Sigma Rho: The National Statistics Honorary Society
- 2023–2024: President | American Statistical Association (ASA) Student Chapter
- 2022–2024: Vice President | UMBC Math and Stats Graduate Student Association
- Honors and Awards
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- 1st Best Oral Paper Presentation Award | The 15th Annual Probability and Statistics Day | UMBC | April 2024
- 1st Place Award in Student Presentation Competition | The International Society for Biopharmaceutical Statistics 7th Symposium | Baltimore, MD | March 2024
- Outstanding Graduate Research in Statistics | College of Natural and Mathematical Sciences | UMBC | May 2023
- 1st Best Oral Paper Presentation Award | The 14th Annual Probability and Statistics Day | UMBC | April 2023
- Professional development Grant | UMBC | Aug 2021
- Ranked 6th out of 3280 candidates in nationwide entrance exam for graduate study in Statistics | Iran | May 2011
- Prof. Balakrishnan Award in Applied Statistics | 11th Iranian Statistics Student Competitions | University of Tabriz | July 2010
- Contact
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Department of Mathematics and Statistics
UMBC
1000 Hilltop Circle
Baltimore, MD 21250, USAPhone: 202–823–8049
Email: avahid1@umbc.edu
LinkedIn: Vahid Andalib