cv | Sebastian M. Schmon, PhD

Name	Sebastian M Schmon
Label	Senior Machine Learning and Statistics Researcher / Engineer
Url	https://schmons.github.io/
Summary	A German-born statistician and machine learning researcher. Now working on biology in Cambridge.

	Statistics
	Bayesian Inference
	Frequentist Inference
	Hypothesis Testing
	Confidence Intervals
	Linear Regression
	Logistic Regression
	Generalized Linear Models
	Time Series Analysis
	ARIMA Models
	Stochastic Processes
	Markov Chains
	Monte Carlo Methods
	Bootstrap Methods
	Resampling Methods
	Nonparametric Statistics
	Robust Statistics
	Principal Component Analysis (PCA)
	Factor Analysis
	Linear and Generalized Linear Models
	Unsupervised Learning
	Reproducing Kernel Hilbert Spaces
	Variational Methods
	Survey Statistics
	Causal Inference

	Machine Learning
	Neural Networks
	Transformers
	Attention Mechanisms
	Transfer Learning
	Reinforcement Learning
	Unsupervised Learning
	Semi-Supervised Learning
	Supervised Learning
	Gradient Descent
	Backpropagation
	Regularization (L1, L2, Dropout)
	Hyperparameter Optimization
	Empirical Risk Minimization
	Transductive Learning
	Variational Autoencoders
	Denoising Diffusion Models
	Large Language Models (LLMs)
	Optimization Algorithms (SGD, Adam, RMSprop)

	Computer Science
	Algorithms and Data Structures
	Complexity Theory
	Computability Theory
	Automata Theory
	Python
	Java
	C/C++

	German
	Native speaker

	English
	Fluent