按时间顺序整理的受邀演讲、会议报告、工作坊与海报纪录，内容取自我的履历。
65 场演讲 · 2013–2026
18 场受邀演讲 · 29 场会议演讲 · 18 场其他演讲
由合作者发表，非本人。
- 20268
- 受邀演讲
From Supercomputers to Health Departments
- 受邀演讲
Artificial Intelligence for the Scientist in a Hurry
- 会议工作坊
Artificial Intelligence for the Scientist in a Hurry
- 会议工作坊
Understanding Diffusion with netdiffuseR
合作者：
- 会议演讲
Variability of ERGM fits influences epidemic simulation results: A case study of Monkeypox virus transmission and methods for robust scenario analysis†
由 Rosenblatt, S. 发表·合作者：
- 受邀演讲
How can models help public health?: Reflections from a Modeler
- 工作坊
Introduction to Exponential-Family Random Graph Models
- 工作坊
Statistical Inference in Network Science: A short course
- 受邀演讲
- 20252
- 20249
- 海报
Automatic Calibration of Agent-Based Models using Deep Neural Networks †
由 Najafzadehkhoei, S. 发表
- 海报
How does network structure in Agent-Based Models affect epidemiological parameters? A large simulation study †
由 Olivera, A. 发表·合作者：
- 受邀演讲
Machine Learning Sandwich for Agent-Based Models: Automatic calibration and post-processing adjustment for ABMs
- 受邀演讲
A Brief Introduction to High-Performance Computing: With Applications in R
- 会议演讲
epiworld: A fast multi-language library for epi ABMs
合作者：
- 受邀演讲
Exponential Random Graph Models: An Introduction
- 受邀演讲
'La Muerte del Aprendizaje de Máquina' o 'cómo la teoría puede mejorar a las máquinas'
- 工作坊
Introduction to Exponential-Family Random Graph Models
- 工作坊
Statistical Inference in Network Science: A short course
- 海报
- 20238
- 受邀演讲
What is a Scientist?
- 受邀演讲
Power and multicollinearity in small networks: A discussion of “Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” by Krivitsky, Coletti & Hens
- 会议演讲
How Network Structure Affects Epidemiological Indicators in ABMs - A Large Simulation Study Featuring Artificial and Real-world Networks
合作者：
- 会议工作坊
Simulating Complex Agent-Based Model with epiworldR: A fast and flexible ABM framework
合作者：
- 海报
Visualization tools for network science: Building beautiful graphs with netplot †
由 Bischoff, P. 发表
- 演讲
Mechanistic Machine Learning
- 受邀演讲
Network visualization (in R) with “netplot” and motif counting (in C++) with “barry”
- 受邀演讲
Prediction of Gene Functions by Leveraging Biological Insights with Mechanistic Machine Learning
- 受邀演讲
- 20222
- 20217
- 会议演讲
Una Mirada General a los Modelos Cuantitativos de Redes Sociales
- 会议演讲
Network Influence in Officer Firearm Use†
由 Ouellet, M. 发表·合作者：
- 会议演讲
Triads, Dyads, and Gene Functions - When Social Network Analysis Meets Phylogenetics
- 受邀演讲
Triadas, lazos y funciones genéticas: cuando las redes sociales y la filogenética se encuentran
- 受邀演讲
Triads, Dyads, and Gene Functions - When Social Network Analysis Meets Phylogenetics
- 工作坊
A Crash course on git
- 工作坊
HPC with Slurm, R, and the slurmR R package
- 会议演讲
- 20205
- 会议演讲
ERGMito Statistical Models for Small Team Social Networks
合作者：
- 演讲
Essays on Bioinformatics and Social Network Analysis: Statistical and Computational Methods for Complex Systems
- 受邀演讲
Predicción de funciones genéticas utilizando evidencia experimental y árboles filogenéticos: Un modelo evolutivo" o "Ciencia de datos en la práctica
- 演讲
Essays on Bioinformatics and Social Network Analysis Statistical and Computational Methods for Complex Systems
- 工作坊
slurmR workshop
- 会议演讲
- 20198
- 演讲
Happy Scientist Seminar: Research Pipelines
- 受邀演讲
A Brief Introduction to Using R for High-Performance Computing
- 会议演讲
Exact Statistics and Semi-Parametric Tests for Small Network Data
合作者：
- 会议演讲
Exact Statistics and Semi-Parametric Tests for Small Network Data
合作者：
- 演讲
What drives social networks? A gentle introduction to exponential random graph models (with a focus on small networks)
- 受邀演讲
Big Problems for Small Networks: Statistical Analysis of Small Networks and Team Performance
合作者：
- 受邀演讲
Big Problems for Small Networks: Statistical Analysis of Small Networks and Team Performance
合作者：
- 会议演讲
Small network statistics for the network science of teams
合作者：
- 演讲
- 20188
- 受邀演讲
Estadística de Redes y Econometría Espacial (con R)
- 会议工作坊
Computacion de Alto Rendimiento con R
- 演讲
Overview of Social Network Models
- 会议演讲
Big Problems for Small Networks: Small Network Statistics
合作者：
- 演讲
A brief introduction to using R for high-performance computing
- 工作坊
R Bootcamp for Scientific Computing 2018
合作者：
- 工作坊
Introduction to R (for HPC users)
- 工作坊
Intro to R
- 受邀演讲
- 20173
- 20164
- 20131
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