Nicolás Hernández

Dr. Nicolás Hernández is a Lecturer in Statistics at Queen Mary University of London's School of Mathematical Sciences, affiliated with the Data Science, Statistics and Probability Centre. He previously held positions as Senior Research Fellow at UCL's Department of Statistical Science and PDRA at the University of Cambridge's MRC Biostatistics Unit. He earned his PhD in Statistics from Universidad Carlos III de Madrid focusing on 'Statistical learning methods for functional data with applications to prediction, classification and outlier detection'.

His research develops statistical/machine learning methods for high-dimensional and functional data applications across energy, economics, environment, demography, business, finance, health, and genetics. Key focuses include predictive confidence bands for functional time series, domain selection/classification in functional data, and outlier detection using Information Theory.

Teaching responsibilities include module leadership for Biostatistics and Medical Statistics in the MSc Applied Statistics and Data Science program, and instructing Time Series Analysis for Business in the MSc Business Analytics program. His work emphasizes ethical considerations in biomedical research and practical implementation using R.

Research outputs include 7+ peer-reviewed publications in journals like Biometrical Journal, Communications in Statistics, Nature Communications, and Entropy. His methods address challenges in functional data analysis, time series prediction, and anomaly detection across diverse domains.

Professional activities include maintaining a research website (https://nicolashernandezb.github.io/) and participation in collaborative projects. Office hours are held weekly at the School Social Hub (MB-B11) on Thursdays 11:30-12:30.