主題演講 | PyCon TW 2026

我們邀請來自全球各地具有深厚影響力的講者，擔任本屆大會的主題演講嘉賓。他們將分享自身在實務經驗、專案歷程中的深刻洞見，並帶來對未來發展趨勢的觀察與想像。

主題演講不僅是一次知識與經驗的傳遞，更是一場拓展思維視角的對話，邀請我們重新思考技術與世界的關係。無論你是初學者還是資深開發者，都能從這些演講中獲得啟發與力量。

Accelerating Algorithm Autoresearch

Optimizing software has never been easier with the advent of agentic AI... right? It turns out it's not quite that simple! Autoresearch is a powerful technique for optimization; an agent iteratively modifies, tests, and benchmarks changes to the codebase with the goal of maximizing the benchmark score. While powerful, this process faces challenges, especially at scale: - Cheating / reward hacking (just as in reinforcement learning). - Overfitting to benchmark's inputs. - Tradeoffs between input breadth and build/test/benchmark cost. - Local maximums. In this talk, we'll discuss some of these challenges and how to overcome them, based on examples from the open source GPUMODE kernel competitions and infrastructure. We'll explore how to take autoresearch results from "cool idea" to "shipped in production".

關於講者

Bryce Adelstein Lelbach has spent over a decade developing programming languages, compilers, and libraries. He is passionate about parallel programming and strives to make it more accessible for everyone. Bryce is a Principal Engineer at NVIDIA, where he founded the CUDA Core Compute Libraries team and now leads the Vanguard Programming group that drives NVIDIA's roadmap for programming languages, compilers, and core libraries. He is a leader of the systems programming language community, having served as chair of the C++ Library Evolution and the US programming language standards committee. He has been an organizer and program chair for many conferences over the years. On the C++ committee, he has worked on concurrency primitives, parallel algorithms, senders, and multidimensional arrays. He previously worked at Lawrence Berkeley National Laboratory and Louisiana State University. He is one of the founding developers of the HPX parallel runtime system. Outside of work, Bryce is passionate about airplanes and watches. He lives in Midtown Manhattan with his girlfriend and dog.

从 CPython 到 PySpark

对于没有接触过大型开源项目的人来说,这些项目会显得有些神秘。尽管我们每天都在使用它们，但很多人并不知道,这些项目的开发者都是如何加入这个项目的？他们平时都在做什么?如果我想成为这个组织的一份子,我可以做哪些事情？我从 2022 年第一次接触大型开源项目的代码，2024 年成为了 Python 的核心开发者，2026 年又成为了 Apache Spark Committer。我希望讲述通过我自己的故事，让这些大型开源项目显得不再那么神秘。也希望通过这些故事，让想参与类似项目的人找到一个可行的路径去努力。在这个演讲中，我会先回顾一下我是如何从一个普通的程序员，逐渐成为 Python 的核心开发者的。和大家分享一下在没有开源项目经历的情况下如何去参与开源项目的开发。然后我会和大家介绍一下我最近这一年在 PySpark 的工作。Spark 作为一个 Scala 项目，它的 Python 部分（也就是 PySpark）既重要，又粗糙。作为一个专门被找来打磨 Python 方向的程序员，我都有哪些事可做呢？这些事情，可能你也可以完成,无论是在你自己的项目，Spark 还是其他的大型开源项目。了解这些内容，不光可以帮助你找到参与开源项目的切入点,也可以让你更好地打磨你们个人或者公司的产品。

關於講者

Databricks 员工、Python 核心开发者、pdb负责人、Apache Spark Committer,Bilibili up 主。手写代码、人眼 review 非物质文化遗产传承人。