Lectures & Recordings

Recorded lectures from my research and teaching, alongside a small selection of external learning resources.

Courses

Follow a course, or open its recording list to find a particular topic. Related projects bring together the accompanying materials.

Gravitational Wave Data Bootcamp

2023

引力波数据探索：编程与分析实战训练营

A practical 2023–24 course in scientific programming, gravitational-wave data analysis, Bayesian inference and machine learning, including invited guest sessions.

Course details & materials View Bilibili collection
View course recordings (19)
  1. Course Kickoff: A Path toward Self-Realization

    0.课程启动会 (通向自我实现之路)

    Instructor1:44:15

    Watch on Bilibili
  2. Linux Basics and Docker Containers

    1. 编程开发环境与工作流 (Linux运维基础与Docker容器化技术)

    Instructor3:04:22

    Watch on Bilibili Related reading: Docker 简易入门教程
  3. Git and Distributed Version Control

    2. 编程开发环境与工作流 (Git分布式版本控制系统)

    Instructor1:49:48

    Watch on Bilibili Related reading: Git: submodule 子模块简明教程
  4. Data Technologies: Evolution and Applications — Guest Session

    3. 公开课: 数据技术演进与现实应用 (特邀嘉宾)

    Guest lecture3:02:16

    Watch on Bilibili
  5. Python for Data Science

    4. 基于 Python 的数据分析基础 (数据科学语言 Python 入门到熟悉)

    Instructor2:41:31

    Watch on Bilibili
  6. Data Analysis with NumPy

    5. 基于 Python 的数据分析基础 (数据分析实训之Numpy)

    Instructor1:22:09

    Watch on Bilibili
  7. Data Analysis with pandas

    6. 基于 Python 的数据分析基础 (数据分析实训之Pandas)

    Instructor2:17:21

    Watch on Bilibili
  8. Data Visualization with Matplotlib

    7. 基于Python的数据分析基础 (数据分析可视化之Matplotlib)

    Instructor2:01:13

    Watch on Bilibili Related reading: 累积引力波事件率图的 python 实现
  9. Data Visualization with seaborn

    8. 基于Python的数据分析基础 (数据分析可视化之Seaborn)

    Instructor1:20:59

    Watch on Bilibili
  10. Recreating Figures from GWTC Papers

    9. GWTC 论文中 figure 的绘图技法

    Instructor40:52

    Watch on Bilibili Related reading: 累积引力波事件率图的 python 实现
  11. GW150914: Data Analysis and Signal Processing

    10. GW150914引力波数据分析与信号处理

    Instructor2:24:16

    Watch on Bilibili Related reading: 谱分析 (spectral analysis) 的 SciPy 代码解析 Related reading: 傅里叶变换算法及其 python 实现
  12. Bayesian Inference for Gravitational-Wave Science — Guest Session, Part 1

    11. 特邀嘉宾-贝叶斯推断在引力波科学中的应用1 (公开课)

    Guest lecture2:35:58

    Watch on Bilibili Related reading: Bayes Inference, Bayes Factor, Model Selection
  13. Bayesian Inference for Gravitational-Wave Science — Guest Session, Part 2

    12. 特邀嘉宾-贝叶斯推断在引力波科学中的应用2 (公开课)

    Guest lecture2:58:44

    Watch on Bilibili Related reading: Bayes Inference, Bayes Factor, Model Selection
  14. Getting Started with Machine Learning

    13. 机器学习基础 (机器学习算法之应用起步)

    Instructor2:45:34

    Watch on Bilibili
  15. Machine Learning in Practice: Further Applications

    14. 机器学习基础 (机器学习算法之应用进阶)

    Instructor2:38:53

    Watch on Bilibili
  16. Deep Learning and Neural-Network Foundations

    15. 深度学习基础 (深度学习技术概述与神经网络基础)

    Instructor2:36:04

    Watch on Bilibili Related reading: 一段关于神经网络的故事
  17. Convolutional Networks for Gravitational-Wave Detection

    16. 深度学习基础 (卷积神经网络与引力波信号探测)

    Instructor2:37:50

    Watch on Bilibili Related reading: 关于感受野 (Receptive field) 你该知道的事
  18. AI Developments and GPT — Guest Session

    17. 特邀嘉宾: AI发展全景与GPT前沿解析 (公开课)

    Guest lecture2:32:32

    Watch on Bilibili
  19. Course Wrap-Up and Reflections

    18. 结营仪式与课程总结 (后记)

    Instructor59:13

    Watch on Bilibili

Deep Learning with PyTorch

2021

PyTorch 深度学习课程（2021）

Originally recorded for Wanmen University in 2021 and adapted from Dive into Deep Learning. The public playlist contains 19 segments covering chapters 1–9 of an 11-chapter materials outline.

Course details & materials View Bilibili collection
View course recordings (19)
  1. 1. Introduction to Deep Learning

    1深度学习简介

    Instructor22:53Recorded 2021

    Watch on Bilibili
  2. 2. PyTorch Prerequisites

    2Pytorch预备知识

    Instructor1:07:49Recorded 2021

    Watch on Bilibili
  3. 3. Deep Learning Foundations — Part 1

    3深度学习基础part1

    Instructor58:15Recorded 2021

    Watch on Bilibili Related reading: 一段关于神经网络的故事
  4. 3. Deep Learning Foundations — Part 2

    3深度学习基础part2

    Instructor39:42Recorded 2021

    Watch on Bilibili Related reading: 一段关于神经网络的故事
  5. 3. Deep Learning Foundations — Part 3

    3深度学习基础part3

    Instructor24:00Recorded 2021

    Watch on Bilibili Related reading: 一段关于神经网络的故事
  6. 3. Deep Learning Foundations — Part 4

    3深度学习基础part4

    Instructor51:59Recorded 2021

    Watch on Bilibili Related reading: 一段关于神经网络的故事
  7. 4. Building Models in PyTorch

    4PyTorch构建模型

    Instructor1:07:12Recorded 2021

    Watch on Bilibili
  8. 5. Convolutional Neural Networks — Part 1

    5卷积神经网络part1

    Instructor1:05:13Recorded 2021

    Watch on Bilibili Related reading: 关于感受野 (Receptive field) 你该知道的事
  9. 5. Convolutional Neural Networks — Part 2

    5卷积神经网络part2

    Instructor1:20:52Recorded 2021

    Watch on Bilibili Related reading: 关于感受野 (Receptive field) 你该知道的事
  10. 6. Recurrent Neural Networks — Part 1

    6循环神经网络part1

    Instructor1:00:35Recorded 2021

    Watch on Bilibili
  11. 6. Recurrent Neural Networks — Part 2

    6循环神经网络part2

    Instructor56:10Recorded 2021

    Watch on Bilibili
  12. 7. Optimization Algorithms — Part 1

    7优化算法part1

    Instructor52:59Recorded 2021

    Watch on Bilibili
  13. 7. Optimization Algorithms — Part 2

    7优化算法part2

    Instructor50:51Recorded 2021

    Watch on Bilibili
  14. 8. Computational Performance

    8计算性能

    Instructor48:49Recorded 2021

    Watch on Bilibili
  15. 9. Computer Vision — Part 1

    9计算机视觉part1

    Instructor57:40Recorded 2021

    Watch on Bilibili
  16. 9. Computer Vision — Part 2

    9计算机视觉part2

    Instructor53:31Recorded 2021

    Watch on Bilibili
  17. 9. Computer Vision — Part 3

    9计算机视觉part3

    Instructor1:25:41Recorded 2021

    Watch on Bilibili
  18. 9. Computer Vision — Part 4

    9计算机视觉part4

    Instructor49:54Recorded 2021

    Watch on Bilibili
  19. 9. Computer Vision — Part 5

    9计算机视觉part5

    Instructor52:12Recorded 2021

    Watch on Bilibili

Large Language Models for Scientific Discovery

2026

【LLM】2026引力波数据分析暑期学校

Five parts of the large-language-model lecture at the 2026 gravitational-wave data-analysis summer school in Lanzhou, covering model architecture, code, reasoning and scientific discovery.

Lecture details & slides View Bilibili collection
View course recordings (5)
  1. The Core Architecture of Large Language Models

    1. 大模型背后的核心架构

    Instructor47:09Recorded 9 Aug 2026

    Watch on Bilibili
  2. The Power of Code

    2. 代码之力

    Instructor34:54Recorded 9 Aug 2026

    Watch on Bilibili
  3. How Do Models Reason toward Correct Answers?

    3. 大模型如何loop出正确答案？

    Instructor14:43Recorded 9 Aug 2026

    Watch on Bilibili
  4. How Can AI Change Scientific Discovery?

    4. AI 如何颠覆传统科学发现？

    Instructor31:52Recorded 9 Aug 2026

    Watch on Bilibili
  5. Can a Harness Help When the Model Falls Short?

    5. 大模型不行Harness来救？

    Instructor1:48:54Recorded 9 Aug 2026

    Watch on Bilibili

Recorded talks

Individual presentations, with their event details and slides where available.

Research mentoring

An introduction to undergraduate research training in gravitational-wave data analysis and AI for science.

External learning resources

Lectures by the original GWOSC workshop speakers, with source materials for further study.

GW Open Data Workshop 2018

2018

GW Open Data Workshop (2018)

A curated collection of lectures by the original workshop speakers, covering detectors, open data, searches, parameter estimation and multimessenger astronomy. Curated external workshop recordings.

View Bilibili collection Workshop & materialsOriginal recordings
View workshop recordings (9)
  1. Gravitational-Wave Detectors: A Primer — David Reitze

    Curated resource37:48Recorded 2018

    Watch on Bilibili Related project: GWData Bootcamp
  2. LIGO Strain Data and Data Quality — Jess McIver

    Curated resource48:56Recorded 2018

    Watch on Bilibili Related project: GWData Bootcamp
  3. Calibration of Advanced LIGO — Alexander Urban

    Curated resource29:26Recorded 2018

    Watch on Bilibili Related project: GWData Bootcamp
  4. Accessing Data through LOSC — Agata Trovato

    Curated resource17:03Recorded 2018

    Watch on Bilibili Related project: GWData Bootcamp
  5. Introduction to GWpy — Duncan Macleod

    Curated resource24:22Recorded 2018

    Watch on Bilibili Related project: GWData Bootcamp
  6. Compact Binary Mergers Observed by LIGO and Virgo — Alan Weinstein

    Curated resource47:21Recorded 2018

    Watch on Bilibili Related project: GWData Bootcamp
  7. Searching for Compact Binary Mergers — Alex Nitz

    Curated resource37:51Recorded 2018

    Watch on Bilibili Related project: GWData Bootcamp
  8. Introduction to CBC Parameter Estimation — Katerina Chatziioannou

    Curated resource30:52Recorded 2018

    Watch on Bilibili Related project: GWData Bootcamp
  9. Multimessenger Astronomy with Advanced LIGO and Virgo — Min-A Cho

    Curated resource12:48Recorded 2018

    Watch on Bilibili Related project: GWData Bootcamp

GW Open Data Workshop 2019

2019

GW Open Data Workshop (2019)

A curated collection of lectures by the original workshop speakers, from detector data and GWpy to compact-binary searches, inference and alerts. Curated external workshop recordings.

View Bilibili collection Workshop & materialsOriginal recordings
View workshop recordings (8)
  1. A Primer on LIGO and Virgo Detectors — Jo van den Brand

    Curated resource41:54Recorded 2019

    Watch on Bilibili Related project: GWData Bootcamp
  2. LIGO–Virgo Data, Quality and Calibration — Alan Weinstein

    Curated resource52:35Recorded 2019

    Watch on Bilibili Related project: GWData Bootcamp
  3. Accessing and Using Open GW Data — Agata Trovato

    Curated resource19:56Recorded 2019

    Watch on Bilibili Related project: GWData Bootcamp
  4. Introduction to GWpy — Duncan McLeod

    Curated resource31:34Recorded 2019

    Watch on Bilibili Related project: GWData Bootcamp
  5. Basics of Compact Binary Searches — Ed Porter

    Curated resource41:55Recorded 2019

    Watch on Bilibili Related project: GWData Bootcamp
  6. Searching for Compact Binary Mergers — Ian Harry

    Curated resource44:32Recorded 2019

    Watch on Bilibili Related project: GWData Bootcamp
  7. Astrophysical Parameter Estimation for Compact Binary Mergers — Vivien Raymond

    Curated resource41:05Recorded 2019

    Watch on Bilibili Related project: GWData Bootcamp
  8. Sky Localization and Gravitational-Wave Alerts — Sarah Antier

    Curated resource34:40Recorded 2019

    Watch on Bilibili Related project: GWData Bootcamp