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Department · vaiu-sci-stat-*

Statistics

Theory and practice of learning from data — inference, probabilistic modeling, and modern statistical machine learning.

● 6/6 appointed & live Programs: Foundation, undergraduate-level, graduate-level, professional certificates (data science, Bayesian methods)

Research areas

Faculty directory

Department chair · Statistical Inference

Prof. Hassan Dovan

Estimation & hypothesis testing, asymptotic theory, and high-dimensional statistics.

estimation & hypothesis testingasymptotic theoryhigh-dimensional statistics
● Appointed & liveField 5/5 · Teach 3/3 · Bound 3/3

Professor · Bayesian Statistics

Prof. Elena Ember

Hierarchical models, MCMC & variational inference, and probabilistic programming.

hierarchical modelsMCMC & variational inferenceprobabilistic programming
● Appointed & liveField 5/5 · Teach 3/3 · Bound 3/3

Professor · Statistical Machine Learning

Prof. Rosa Vale

Supervised & unsupervised learning, nonparametric methods, and deep learning theory.

supervised & unsupervised learningnonparametric methodsdeep learning theory
● Appointed & liveField 5/5 · Teach 3/3 · Bound 3/3

Professor · Biostatistics

Prof. Leila Orlov

Clinical trial design, survival analysis, and statistical genetics.

clinical trial designsurvival analysisstatistical genetics
● Appointed & liveField 5/5 · Teach 3/3 · Bound 3/3

Professor · Time Series & Econometrics

Prof. Reem Quorra

Time-series modeling, forecasting, and causal inference.

time-series modelingforecastingcausal inference
● Appointed & liveField 5/5 · Teach 3/3 · Bound 3/3

Professor · Computational Statistics

Prof. Samir Solen

Resampling & bootstrap, Monte Carlo methods, and statistical computing.

resampling & bootstrapMonte Carlo methodsstatistical computing
● Appointed & liveField 5/5 · Teach 3/3 · Bound 3/3