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戈宗元现任澳大利亚莫纳什大学信息技术学院和工程学院副教授，兼任莫纳什医学AI实验室（Monash Medical AI Lab）和健康增强智能与多模态分析实验室（AIM for Health Lab）的创始主任。自2018年起，戈教授荣获NVIDIA AI Fellowship奖项，且担任莫纳什-Airdoc研究中心的首席科学家以及Optain Health的专家研究员，主要负责研发和教育活动。

戈教授主要从事医学人工智能、计算机辅助诊断、生物医学工程、数字健康、医学影像和机器学习等多个学科交叉领域的研究。其研究结合最新的人工智能技术，利用大规模的多模态医疗数据（包括影像、生物信号、病历、基因组数据以及多组学数据）对临床医疗知识进行建模，应用领域涵盖眼科、皮肤科、心血管科以及神经退化性疾病（如癫痫和多发性硬化症）等。自2020年以来，戈教授一直跻身全球前2%高被引学者行列，并且多篇文章被列入Clarivate Analytics的高被引论文名单。

Zongyuan Ge holds the tenure position of Associate Professor at Monash University, the Faculty of IT and the Faculty of Engineering. He is the Founding Director of the Monash Medical AI and AIM for Health Lab (Monash Augmented Intelligence and Multimodal Analytics for Health). In the industry leadership role, he holds NVIDIA AI Fellowship since 2018, serves as the Chief Scientist at Monash-Airdoc Research Centre and the Chief Research Officer at Optain Health governing the R&D and education activities.

Associate Professor Zongyuan Ge conducts interdisciplinary research on the boundary between Medical Artificial Intelligence, Computer-aided Diagnosis, Biomedical Engineering, Digital Health, Medical Imaging and Machine Learning. His research leverages cutting-edge AI technologies using large-scale multi-modality medical data including imaging, biological signal, medical records, genomics data, multi-omics and models the clinicians’ medical knowledge underlying tasks like diagnosis, prognosis, disease management and treatment for eye (ophthalmology), skin (dermatology), heart (cardiovascular) and neurodegeneration diseases such as epilepsy and multiple sclerosis. Since 2020, he has been ranked among the top 2% of highly cited researchers globally, with his papers listed in Clarivate Analytics' highly cited papers.

李帅副教授

Associate Professor Shuai Li

李帅，澳大利亚墨尔本大学副教授，兼任国家健康与医学研究委员会（NHMRC）研究员（Emerging Leadership），以及流行病学与生物统计学中心研究员（Dame Kate Campbell）。同时，李教授兼任遗传流行病学研究联盟（Genetic Epidemiology Research Alliance）主任，该联盟是由澳大利亚15家机构组成的NHMRC卓越研究中心。李教授毕业于北京大学，并于2018年在墨尔本大学获得博士学位，随后在剑桥大学从事博士后研究工作。

李教授的研究方向涵盖遗传与表观遗传流行病学、双胞胎和家族研究以及癌症风险建模，并获来自于澳大利亚国家健康与医学研究委员会（NHMRC）、美国国立卫生研究院（NIH）、澳大利亚癌症协会等机构的约1400万澳元研究经费，其中约400万澳元凭借首席研究员身份取得。李教授曾获多项卓越研究奖项，包括2024年维多利亚杰出青年科学家奖（Victorian Young Tall Poppy Award）、2023年维多利亚综合癌症中心Tony Burgess奖章、2020年维多利亚州州长健康与医学研究奖（Victorian Premier's Awards for Health and Medical Research）、2018年维多利亚综合癌症中心Picchi癌症研究卓越奖以及2015年国际遗传流行病学协会Roger Williams纪念奖。

Associate Professor Shuai Li is a National Health and Medical Research Council (NHMRC) Emerging Leadership Fellow and a Dame Kate Campbell Fellow at the Centre for Epidemiology and Biostatistics, the University of Melbourne. He is the Director of the Genetic Epidemiology Research Alliance, an NHMRC Centre of Research Excellence involving 15 Australian institutions. He received his Bachelor of Medicine and Master of Medicine degrees from Peking University, and completed his PhD at the University of Melbourne in 2018, followed by postdoctoral research at the University of Cambridge.

Associate Professor Shuai Li’s research interest includes genetic and epigenetic epidemiology, twin and family research, and cancer risk modelling. He has won research funding of ~$14 million from NHMRC, NIH, Cancer Australia, etc., with ~$4 million as the Chief Investigator A. He has been recognised by multiple prestigious research excellence awards, including the 2024 Victorian Young Tall Poppy Award, the 2023 Victorian Comprehensive Cancer Centre Tony Burgess Medal, the 2020 Victorian Premier's Awards for Health and Medical Research, the 2018 Victorian Comprehensive Cancer Centre Picchi Award for Excellence in Cancer Research, and 2015 Roger Williams Memorial Award of the International Genetic Epidemiology Society.

钱国骐副教授

Associate Professor Guoqi Qian

钱国骐现任澳大利亚墨尔本大学数学与统计学院副教授，拥有计算数学学士、统计学博士学位。钱教授已发表超过100篇研究论文，开发2个计算软件，并成功指导了20名博士生、6名荣誉学位生和51名硕士生。

钱教授主要从事统计学与应用数学的基础与转化研究，聚焦于解决气候与地球科学以及基因组研究中面临的现实问题和挑战。此次报告，钱副教授将重点介绍一种针对自然灾害研究中不规则与稀疏时间序列的全新建模与预测方法。该方法结合随机微分方程和马尔可夫链蒙特卡罗法进行数据插补，将不规则时间序列转化为定时高频时间序列，并使用时空自回归与插值进行预测。

Guoqi Qian is currently an Associate Professor at the School of Mathematics and Statistics of the University of Melbourne. He holds a BSc in Computational Mathematics, a PhD in Statistics, and a Graduate Certificate of university teaching. He has published over 100 research papers, developed 2 computing software packages, and successfully supervised 20 PhD, 6 Honours and 51 master students.

Associate Professor Guoqi Qian focuses on both basic and translational research in statistics and applied mathematics driven by real-world problems and challenges in climate and Earth sciences and genomic studies. In this presentation, Associate Professor Qian will introduce a novel modelling and forecasting method for irregular and infrequent time series in natural hazard study. This method integrates stochastic differential equations and Markov chain Monte Carlo for data imputation, converting irregular and infrequent time series into regularly timed high-frequency time series, and forecastes by spatial-temporal autoregression and interpolation.

翟佳丽博士

Dr. Jiali (Maggie) Zhai

翟佳丽博士现任澳大利亚皇家墨尔本理工大学（RMIT）高级研究员，2013年于蒙纳士大学获得博士学位。2015年，翟博士荣获澳大利亚联邦科学与工业研究组织（CSIRO）首席执行官博士后奖学金，随后加入RMIT。其研究方向主要涵盖两亲分子的自组装、液晶、离子液体，以及界面上的生物分子结构与行为。翟博士还致力于解决生物医学领域的关键问题，包括纳米技术驱动的靶向药物递送、生物医学成像、蛋白质和基因递送，以及功能食品胶体等。

2020年，翟博士荣获澳大利亚维多利亚州政府颁发的维州奖学金，支持她前往欧洲四个国家并依托两个同步加速器设施，开展超膨胀脂质纳米颗粒用于蛋白质和基因递送的研究。翟博士在同步辐射技术方面有着丰富的经验，尤其擅长小角X射线散射（SAXS）和圆二色性（CD）技术，并用于研究生物相关系统中的自组装，以及膜界面上蛋白质和DNA的结构。

Dr. Jiali (Maggie) Zhai is a Senior Research Fellow at RMIT University. Dr. Zhai obtained her PhD at Monash University in 2013. Before joining RMIT, she was awarded the CSIRO Office of Chief Executive Postdoctoral Fellowship in 2015. Her primary research interests include the fundamental understanding of amphiphile self-assembly, liquid crystals, ionic liquids, biomolecular structure and behaviour at interfaces. Her research also takes an applied and multidisciplinary approach to solve outstanding biomedical problems such as nanotechnology-enabled targeted drug delivery, biomedical imaging, protein and gene delivery, and functional food colloids.

In 2020, Maggie was awarded the Victoria Fellowship by the Victorian State Government, Australia, to undertake a study mission of designing super-swollen lipid nanoparticles for protein and gene delivery in four European countries and two European synchrotron facilities. Maggie has strong expertise in synchrotron-based techniques such as small angle X-ray scattering (SAXS) and circular dichroism (CD) techniques, which she uses to develop new methods to study self-assembly in biologically relevant systems, and the structures of proteins and DNAs at membrane interface.

敬请期待

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