1200hours
scientists
Enjoy the journey!
1200hours
scientists and artists
scientists and artists

@ Frank

@ david

@ ivery

@ Prof. chen

@ Hong

@ prof. CHOW

@ Sophie

@ leo

@ alan

@ chiu

@ JY

@ TEE

@ NADIA
1200hours Summer Team: Bringing together world-changing scientists and passionate young talents to embark on an inspiring "thinking relay".
Timeline: 3 weeks of preparation in summer, followed by a 48-hour intense sprint in October.
夏日小队让拥有改变世界力量的科学家与心怀热爱的新锐青少年在一起进行一场思想接力。
时间线:夏日三周筹备 + 十月极限冲刺
Enjoy the journey!
时间线:夏日三周筹备 + 十月极限冲刺
Enjoy the journey!
hong
Gordon Bell Prize, known as the "Nobel Prize" of high-performance computing (HPC);
Over 20 years of profound experience in optimizing HPC, deep learning architectures, and extreme-scale scientific applications;
focuses on HPC platform performance tuning and parallel programming model research;
led the development of FBGEMM, the core library for Facebook (Meta) deep learning frameworks (PyTorch and Caffe2).
高性能计算“诺贝尔奖” 戈登贝尔奖 团队成员;
在高性能计算(HPC)、深度学习架构和极端规模的科学应用的优化领域拥有超过20年的深厚积淀;
专注于超算平台的性能调优与并行编程模型研究;
主导开发 Facebook (Meta) 深度学习框架(PyTorch 和 Caffee2)的核心库。
Over 20 years of profound experience in optimizing HPC, deep learning architectures, and extreme-scale scientific applications;
focuses on HPC platform performance tuning and parallel programming model research;
led the development of FBGEMM, the core library for Facebook (Meta) deep learning frameworks (PyTorch and Caffe2).
高性能计算“诺贝尔奖” 戈登贝尔奖 团队成员;
在高性能计算(HPC)、深度学习架构和极端规模的科学应用的优化领域拥有超过20年的深厚积淀;
专注于超算平台的性能调优与并行编程模型研究;
主导开发 Facebook (Meta) 深度学习框架(PyTorch 和 Caffee2)的核心库。
PROF. CHEN
A*STAR Lab
Director and PI, doctoral supervisor, Senior Scientist III;
listed in the world's top 2% scientists for consecutive years;
CHEN's research focuses on time series analysis, including representation learning, domain adaptation and knowledge distillation.
A*STAR
实验室主任及 PI,博士生导师,III 级科学家;
连续多年入选全球前 2% 科学家名单;
CHEN 的研究专注于时间序列分析,包括表示学习、领域自适应及知识蒸馏等。
Director and PI, doctoral supervisor, Senior Scientist III;
listed in the world's top 2% scientists for consecutive years;
CHEN's research focuses on time series analysis, including representation learning, domain adaptation and knowledge distillation.
A*STAR
实验室主任及 PI,博士生导师,III 级科学家;
连续多年入选全球前 2% 科学家名单;
CHEN 的研究专注于时间序列分析,包括表示学习、领域自适应及知识蒸馏等。
alan
Argonne National Laboratory,
Cosmic Physics and Advanced Computing Group;
Astrophysics Data Engineer;
Dedicated to developing large-scale parallel machine learning pipelines to improve the accuracy and performance of galaxy formation models;
Uses Normalizing Flows to build generative models, enabling efficient simulation of Dark Matter Halo Populations;
Previously served as Chief Data Scientist at a major airline, optimizing the airline's systems to support its rapidly expanding global route network.
阿贡国家实验室,宇宙物理与高级计算小组;
天体物理数据工程师;
致力于开发大规模并行机器学习流水线,提升星系形成模型的准确性与性能;
利用归一化流(Normalizing Flows)构建生成模型,实现对暗物质晕族群(Dark Matter Halo Populations)的高效模拟;
曾是某大型航空公司的首席数据科学家,为该航空公司优化系统以支撑其快速扩张的全球航线网络。
Cosmic Physics and Advanced Computing Group;
Astrophysics Data Engineer;
Dedicated to developing large-scale parallel machine learning pipelines to improve the accuracy and performance of galaxy formation models;
Uses Normalizing Flows to build generative models, enabling efficient simulation of Dark Matter Halo Populations;
Previously served as Chief Data Scientist at a major airline, optimizing the airline's systems to support its rapidly expanding global route network.
阿贡国家实验室,宇宙物理与高级计算小组;
天体物理数据工程师;
致力于开发大规模并行机器学习流水线,提升星系形成模型的准确性与性能;
利用归一化流(Normalizing Flows)构建生成模型,实现对暗物质晕族群(Dark Matter Halo Populations)的高效模拟;
曾是某大型航空公司的首席数据科学家,为该航空公司优化系统以支撑其快速扩张的全球航线网络。
chiu
Berkeley Lab (Lawrence Berkeley National Laboratory),
Research Developer;
Focused on artificial intelligence and simulation system development, building open-world simulation frameworks and reinforcement learning models. Leverages knowledge graphs, data mining, and spatiotemporal geographic analysis technologies to construct multi-domain data processing and visualization systems, which support search optimization, illicit network identification, and humanitarian crisis data analysis.
劳伦斯伯克利国家实验室(Berkeley Lab)
研发工程师;
致力于人工智能与仿真系统开发,搭建开放世界模拟框架与强化学习模型,利用知识图谱、数据挖掘与时空地理分析技术,构建多领域数据处理与可视化系统,实现搜索优化、非法网络识别及人道危机数据分析。
Research Developer;
Focused on artificial intelligence and simulation system development, building open-world simulation frameworks and reinforcement learning models. Leverages knowledge graphs, data mining, and spatiotemporal geographic analysis technologies to construct multi-domain data processing and visualization systems, which support search optimization, illicit network identification, and humanitarian crisis data analysis.
劳伦斯伯克利国家实验室(Berkeley Lab)
研发工程师;
致力于人工智能与仿真系统开发,搭建开放世界模拟框架与强化学习模型,利用知识图谱、数据挖掘与时空地理分析技术,构建多领域数据处理与可视化系统,实现搜索优化、非法网络识别及人道危机数据分析。
frank
A*STAR (Singapore)
Senior Research Engineer;
focuses on Graph Neural Networks (GNN) and Multivariate Time Series (MTS) research, and is an emerging force in the field of intelligent data modeling.
新加坡科技研究局
高级研究工程师;
专注于图神经网络(GNN)与多元时间序列(MTS)研究,
智能数据建模领域的新锐力量
Senior Research Engineer;
focuses on Graph Neural Networks (GNN) and Multivariate Time Series (MTS) research, and is an emerging force in the field of intelligent data modeling.
新加坡科技研究局
高级研究工程师;
专注于图神经网络(GNN)与多元时间序列(MTS)研究,
智能数据建模领域的新锐力量
Sophie
Walt Disney Animation Studios,
Character Modeling and Look Development (Look Dev) Artist;
Deeply involved in S-level animated films such as Moana, Frozen and Zootopia;
Proficient in the entire animation and game pipeline, with great passion for Look Development and Visual Development;
With extensive experience in the Hollywood industrial system, She is enthusiastic about using 3D technology for cosmic modeling and macro world development, creating characters and worlds that can "tell their own stories".
迪士尼动画工作室
人物建模与外观开发(Look Dev)艺术家;
深度参与 海洋奇缘、冰雪奇缘及疯狂动物城等S级动画电影;
精通动画与游戏全流程管线的基础上,对外观开发与视觉开发拥有极高热情;
深耕好莱坞工业体系,热衷利用 3D 技术进行宇宙建模与宏观世界开发,创造能够自我叙事的角色与世界。
Character Modeling and Look Development (Look Dev) Artist;
Deeply involved in S-level animated films such as Moana, Frozen and Zootopia;
Proficient in the entire animation and game pipeline, with great passion for Look Development and Visual Development;
With extensive experience in the Hollywood industrial system, She is enthusiastic about using 3D technology for cosmic modeling and macro world development, creating characters and worlds that can "tell their own stories".
迪士尼动画工作室
人物建模与外观开发(Look Dev)艺术家;
深度参与 海洋奇缘、冰雪奇缘及疯狂动物城等S级动画电影;
精通动画与游戏全流程管线的基础上,对外观开发与视觉开发拥有极高热情;
深耕好莱坞工业体系,热衷利用 3D 技术进行宇宙建模与宏观世界开发,创造能够自我叙事的角色与世界。
david
Alan Turing Institute, UK National Institute for Data Science and Artificial Intelligence
Senior Data Scientist, Research Engineer;
Focuses on developing efficient computational methods to enable data-driven event prediction;
Previously seconded to the UK government's Department for Energy Security and Net Zero (DESNZ) as Data Lead, providing technical support for the digital upgrade of the national greenhouse gas emission inventory.
艾伦·图灵研究所,英国国家数据科学与人工智能研究院
高级数据科学家,研究工程师;
专注于开发高效的计算方法以实现数据驱动的事件预测;
曾借调至英国政府「能源安全与净零部(DESNZ)」担任数据负责人,为国家绿色气体排放清单的数字化升级提供技术支持。
Senior Data Scientist, Research Engineer;
Focuses on developing efficient computational methods to enable data-driven event prediction;
Previously seconded to the UK government's Department for Energy Security and Net Zero (DESNZ) as Data Lead, providing technical support for the digital upgrade of the national greenhouse gas emission inventory.
艾伦·图灵研究所,英国国家数据科学与人工智能研究院
高级数据科学家,研究工程师;
专注于开发高效的计算方法以实现数据驱动的事件预测;
曾借调至英国政府「能源安全与净零部(DESNZ)」担任数据负责人,为国家绿色气体排放清单的数字化升级提供技术支持。
leo
Visual & Interactive Artist
WWDC Apple Design Awards
Consistently featured and curated globally by Apple, and selected for key official innovation programs.
Focusing on design, technology and innovation, while prioritizing human-centered experience, social impact, inclusivity and visual aesthetics.
Profoundly versed in cutting-edge technology and design logic, skilled in complex information organization, lightweight interaction, visual communication and holistic project storytelling.
视觉交互艺术家
WWDC 苹果最高奖 — 苹果设计奖;
长期获苹果官方全球推荐、精选收录与官方重点项目扶持;
聚焦设计、技术、创新,强调人文体验、社会价值、包容性与视觉表现;
理解前沿科技设计与逻辑,擅长复杂信息梳理、轻量化交互、视觉表达与完整项目叙事。
WWDC Apple Design Awards
Consistently featured and curated globally by Apple, and selected for key official innovation programs.
Focusing on design, technology and innovation, while prioritizing human-centered experience, social impact, inclusivity and visual aesthetics.
Profoundly versed in cutting-edge technology and design logic, skilled in complex information organization, lightweight interaction, visual communication and holistic project storytelling.
视觉交互艺术家
WWDC 苹果最高奖 — 苹果设计奖;
长期获苹果官方全球推荐、精选收录与官方重点项目扶持;
聚焦设计、技术、创新,强调人文体验、社会价值、包容性与视觉表现;
理解前沿科技设计与逻辑,擅长复杂信息梳理、轻量化交互、视觉表达与完整项目叙事。
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