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深圳大学城第248期讲座纵览(6.10-6.17)

  • 2026-06-16 13:29:18
深圳大学城第248期讲座纵览(6.10-6.17)

编者按

1

本讲座信息收集截止至每周三下午。

2

本栏目旨在给各位校友汇总大学城一周的讲座信息,本期合计9场,其中经史文哲2场,理工科创7场每个分类下按时间排序,各位读者可按需阅读,参与方式请见各海报。

3

诚邀有讲座的主办方将海报或讲座信息发给我们。(请联系后台或者发送邮件alumni@pkusz.edu.cn)

因不同讲座针对对象不同、讲座举办地容量有限,请大家服从讲座组织者的安排,有序、准时参加讲座,在讲座过程中请保持安静,注意一定的礼貌和对演讲者的尊重。

本周讲座一览

  • 北京大学深圳研究生院

    1) 鹰才可期——昆鹰律师事务所校园宣讲会
    2) 企业家法律风险防范——股权架构、夫妻共债、账户管理、税务规划
    3) DNA-encoded Focused Library Accelerates the Drug Discovery
    4) Synthesis Through CC Bond Scission
    5) Activity-based protein profiling——target and ligand discovery on a global scale
  • 清华大学深圳际研究生院

    1) 功能糖链生物制造与大健康产业

    2) 糖苷化合物缓解代谢类疾病的潜在作用机制研究

  • 哈尔滨工业大学(深圳)

    1) Data-Driven Optimal Iterative Parameter Prediction and its Applications2) Mechanism of Ductile-to-BrittleTransitionin Body-centered

    注:以上分类顺序排列不分先后,各学校内讲座信息按类别顺序排列。

    经哲文史类

    [梦想与诗和远方]

    北京大学深圳研究生院

    主题/TOPIC:鹰才可期——昆鹰律师事务所校园宣讲会

    时间/DATE&TIME:6月10日(周三)19:00-21:00

    地点/LOCATION:国际法学院209教室

    嘉宾/PANELISTS:
    • Sam Williamson(吴骏),昆鹰全球白领辩护和调查业务联席主席、迈阿密联席管理合伙人

    • 刘骁,昆鹰中国业务主任、北京办公室管理合伙人

    • 朱奕宣,昆鹰北京办公室合伙人,中国业务创始成员 

    内容/CONTENT:

          介绍代理中国企业解决跨境争议案件的心得感悟、争议解决业务的特点和行业趋势、中国法学生在国际律所的职业发展路径等与法学生密切相关的职业选择、自我规划等话题。

          昆鹰是专注争议解决业务的全球律师事务所,在全球36个办公室有1300多名诉讼、仲裁和刑事辩护律师,连续多年被BTI评为“最令对手畏惧的律所”,并常年位居Vault“全美商事诉讼”榜首。昆鹰在中国设有北京、上海、香港三个代表处。其中国团队专注于代表中国客户处理在美国、欧盟、英国、澳大利亚等地的诉讼、国际仲裁以及外国政府执法调查事务。

    活动海报/POSTER

    北京大学深圳研究生院

    主题/TOPIC:企业家法律风险防范——股权架构、夫妻共债、账户管理、税务规划

    时间/DATE&TIME:6月13日(周六) 15:00-17:00

    地点/LOCATION:国际法学院203教室

    嘉宾/PANELISTS

    • 王艳广发银行前海自贸区支行支行行长,北大汇丰MA校友会深圳分会会长,北大汇丰2005级校友

    • 王淑锦广东君言律师事务所权益合伙人、争议委主任,北京大学国际法学院2012级校友

    • 谭平前深圳某法院婚姻家事合议庭法官,深圳市律师行业妇联副主席,广东君言律师事务所管理合伙人、家族委主任

    • 孙蔼婷安永(上海)税务师事务所有限公司广东分所企业税咨询服务/私人客户税务服务合伙人

    主持人/MODERATOR古黛一裁律师事务所合伙人,北京大学国际法法学院校友会会长,北京大学国际法学院2008级校

    讲座语言/LANGUAGE:中文

    内容/CONTENT:

    一、嘉宾分享

    1)王淑锦:以股权架构设计切断风险传导

    2)谭平:企业债、家庭担?

    3)王艳:如何用好银行账户

    4)孙蔼婷:全球税收透明化下高净值人群的财富管理与税收规划

    二、校外来宾自我介绍

    活动海报/POSTER

    理工科创类

    [将逻辑思维进行到底]

    北京大学深圳研究生院

    主题/TOPIC:DNA-encoded Focused Library Accelerates the Drug Discovery

    时间/DATE&TIME:6月11日(周四)15:30-17:00

    地点/LOCATION:北京大学化学生物学与生物技术学院C105

    嘉宾/PANELISTS陆晓杰 中国科学院上海药物研究所研究员
          陆晓杰  研究员,中国科学院上海药物研究所课题组长、博士生导师。课题组长期致力于核酸编码化合库(DEL)技术的开发和应用研究,通过将DEL技术和其他药物发现技术(人工智能药物设计、化学蛋白组学和mRNA Display技术等)相结合,设计并合成针对特定靶点的DEL集中库来加快小分子、环肽和核酸等药物的开发。先后承担了国家自然科学基金重点、面上项目等多个项目。近五年以通讯作者身份在J. Am. Chem. Soc.、Angew. Chem. Int. Ed.、JACS Au、Chem. Sci.、J. Med. Chem.等期刊发表SCI文章40余篇。
    内容/CONTENT:

          核酸编码化合物库(DNA Encoded Library, DEL)是一种用于对疾病相关的生物靶点进行亲合筛选来发现小分子和环肽先导化合物的有力工具。 DEL技术已经广泛的被制药工业界所采用来促进新靶点配体分子的发现,此外DEL技术也可以和其他药物技术结合起来进一步加快药物开发。本次报告将汇报DEL和其他药物发现技术比如基于结构和片段的药物设计、化学蛋白质组学、人工智能技术、环肽药物和Protac降解技术等的交叉应用,利用多种技术交叉融合的DEL集中库技术来促进新靶点的创新药物发现。

    活动海报/POSTER

    北京大学深圳研究生院

    主题/TOPIC:Synthesis Through CC Bond Scission

    时间/DATE&TIME:615日(周一)10:15-12:00

    地点/LOCATION:北京大学化学生物学与生物技术学院C102

    嘉宾/PANELISTSOhyun Kwon教授  University of California, Los Angeles (UCLA)
          Ohyun Kwon,女,美国加州大学洛杉矶分校(UCLA)化学与生物化学系教授。Kwon 教授长期从事有机合成、磷催化、自由基化学、C–C 键断裂反应方法学以及天然产物与药物相关分子的后期修饰研究。她本科和硕士毕业于韩国首尔大学,后分别在耶鲁大学、哥伦比亚大学和哈佛大学接受科研训练,并于2001年加入 UCLA 任教,2013年至今任 UCLA 教授。Kwon 教授在 C–C 键活化与断裂、磷催化有机反应及复杂分子合成领域取得了系列重要成果,相关研究发表于 Science、J. Am. Chem. Soc.、Angew. Chem. Int. Ed.、Acc. Chem. Res. 等国际知名期刊,并曾获得 ACS Arthur C. Cope Scholar Award、Novartis Chemistry Lectureship Award、Herbert Newby McCoy Award 等荣誉。

    内容/CONTENT:

          本次讲座围绕基于 C–C 键断裂的合成化学展开,重点介绍 Kwon 教授课题组在烯烃和酮类化合物 C(sp³)–C(sp²) 键转化方面的研究进展。报告将从磷有机催化及手性膦配体 CarvoPhos 的研究背景切入,阐述通过臭氧化、Fe(II) 介导还原断裂、Cu(I) 催化脱烯基胺化等策略生成并捕获烷基自由基,实现 C–H、C–S、C–O、C=O、C–C、C–卤素及 C–N 等化学键的构建。报告将进一步展示 C–C 键断裂策略在复杂分子编辑、药物分子、天然产物及相关功能分子后期修饰中的应用,为有机合成方法学发展提供新的思路。

    活动海报/POSTER

    北京大学深圳研究生院

    主题/TOPIC:Activity-based protein profiling——target and ligand discovery on a global scale

    时间/DATE&TIME:6月15日(周一) 13:30-15:00

    地点/LOCATION:北京大学化学生物学与生物技术学院C105

    嘉宾/PANELISTSBenjamin F. Cravatt, Ph.D.   The Scripps Research Institute
    Dr. Cravatt is Professor and Norton B. Gilula Chair of Chemical Biology in the Department of Chemistry at The Scripps Research Institute. His research group is interested in developing innovative chemical technologies that enable protein and drug discovery on a global scale and applying these methods to characterize biochemical pathways that play important roles in human physiology and disease. Dr. Cravatt obtained his undergraduate education at Stanford University, receiving a B.S. in the Biological Sciences and a B.A. in History. He then received a Ph.D. from The Scripps Research Institute (TSRI) in 1996. Professor Cravatt joined the faculty at TSRI in 1997. Dr. Cravatt is co-founder of several biotechnology companies, including Activx Biosciences, Abide Therapeutics, Vividion Therapeutics, and Belharra Therapeutics.(Focused on chemical proteomics and drug discovery for undruggable targets, Vividion Therapeutics was strategically acquired by Bayer AG in 2021.)Dr. Cravatt’s honors include a Searle Scholar Award, the Eli Lilly Award in Biological Chemistry, the ASBMB Merck Award, the Wolf Prize in Chemistry, the Heinrich Wieland Prize, the Tetrahedron Award for Creativity in Bioorganic and Medicinal Chemistry, The NAS Award in Chemical Science, and memberships in the National Academies of Inventors, Arts and Sciences, Medicine, and Sciences.

    内容/CONTENT:

    Advances in DNA sequencing have greatly increased our understanding of the genetic basis of human disease. However, many of human genes encode proteins that remain uncharacterized and lack selective small-molecule probes. To address these problems, we have introduced activity-based protein profiling (ABPP), a chemical proteomic technology that globally profiles the functional state and small molecule interactions of proteins in native biological systems. In this lecture, I will describe the application of ABPP to generate covalent small molecule interaction (or ligandability) maps of human cells and how this information can guide the discovery of first-in-class chemical probes and drug candidates for disease-relevant proteins. Key themes will include: 1) the importance of assaying proteins in endogenous environments to realize their full small molecule interaction potential; 2) the capacity of covalent chemistry coupled with ABPP to extend the druggability of the proteome to reach historically challenging target families like adaptor/scaffolding proteins and DNA/RNA-binding proteins; and 3) the remarkably diverse ways that allosteric small molecules can regulate protein function in cells.

    活动海报/POSTER

    清华大学深圳研究生院

    主题/TOPIC:功能糖链生物制造与大健康产业

    时间/DATE&TIME:615日(周一)9:30-10:30

    地点/LOCATION:清华大学深圳国际研究生院 国际一期 C404

    主讲人/SPEAKER杜昱光 中国科学院过程工程研究所研究员
    杜昱光,二级研究员,博士生导师,俄罗斯自然科学院外籍院士。中国科学院过程工程研究所国家生化工程技术研究中心(北京)常务副主任。湖北中医药大学首席教授。中国生物工程学会糖生物工程专业委员会名誉主任、国家糖工程中心学术委员会委员、湖北时珍实验室学术委员会委员。享受国务院政府津贴、获山东泰山学者蓝色产业领军人才。2021年当选俄罗斯自然科学院外籍院士。已主持及参加的国家科技攻关、国家重大研发计划项目、国家自然科学基金等四十余项科研项目。发表SCI论文83篇。申请发明专利65项,学术专著4部,参与编著5部。先后获得省部级科技进步一等奖五项,二等奖四项。主要研究方向:功能糖链发现、作用机理、制备技术及糖工程产品研发。

    内容/CONTENT:

    本报告内容围绕功能糖链生物制造与大健康产业展开,依托合成生物学技术,点明糖链是生命科学待挖掘关键领域,与肠道稳态、心脑血管、肿瘤早期筛查等人体健康密切相关。团队依托中科院科研平台,采用天然多糖酶解及ivBT模块化生物合成两大技术路线,实现系列壳寡糖及母乳低聚糖(HMOs)精准制备。相关核心原料产品可应用于功能食品、生物医药、饲料添加剂及植物免疫诱抗剂等领域,为推动我国糖生物工程从科研突破迈向产业化落地提供一种新思路。

    活动海报/POSTER

    清华大学深圳研究生院

    主题/TOPIC:糖苷化合物缓解代谢类疾病的潜在作用机制研究

    时间/DATE&TIME:615日(周一)10:30-11:30

    地点/LOCATION:清华大学深圳国际研究生院 国际一期 C404

    主讲人/SPEAKER杜宇国 中国科学院生态环境研究中心研究员
          杜宇国博士,1987年于清华大学获得学士学位,1995年于中国科学院大学获得理学博士学位。1995-1998年,美国Iowa大学药学院博士后,师从Robert J. Linhardt教授,从事肝素寡糖、酮糖酸碳苷及神经节苷脂等药用化合物的合成与活性研究。主要研究兴趣:基于有机合成化学的糖类药物研发。在国际上最早合成了具有光学纯的呋喃型1,2-缩水内醚糖;发现糖酮酸碳苷合成的新方法;发展了“一锅多步法”用于合成活性3,6-支化寡糖;发现并提出POPs暴露诱发体内糖脂代谢改变的可能机理;发现并设计糖苷硒化合物显著抑制小鼠Galectin-1达到减肥效应。发表SCI论文200多篇,授权和申请发明专利32件,技术转让11项,培养研究生70多名。曾获中国科学院杰出科技成就奖、中国科学院院长优秀奖、中国环境科学学会“青年科技奖”、中国化学会糖化学突出贡献奖、中国生化制药工业协会突出贡献奖(第六届张天民糖类药物奖)等。

    内容/CONTENT:

    本研究揭示了糖苷类活性物质对代谢类疾病的调控作用,发现天然产物SS(及某些衍生物)是一种作用机制新颖的MASH药物候选分子,药理学靶点研究提示肠FXR、肝脏CYP7B1是改善MASH的关键宿主靶点;发现所设计合成的新型硒糖苷类化合物对小鼠肥胖及代谢紊乱的改善作用与抑制Galectin-1的表达密切相关,可通过减弱PPARγ的表达和转录活性抑制脂肪细胞分化和脂质积累,揭示出硒蛋白在改善代谢紊乱中的重要作用。

    活动海报/POSTER

    哈尔滨工业大学(深圳)

    主题/TOPIC:Data-Driven Optimal Iterative Parameter Prediction and its Applications

    时间/DATE&TIME:611日(周四) 10:00-11:00

    地点/LOCATION:腾讯会议235-417-295

    主讲人/SPEAKER:张娟

          张娟,教授,博士生导师,湘潭大学数学与计算科学学院副院长,“智能计算与信息处理”教育部重点实验室常务副主任。入选湖湘青年英才,省青年骨干教师培养对象。多次赴新加坡国立大学、澳门大学访问。主持国自科面上、开元国际研究院课题、711研究所项目。作为子课题负责人承担国家重点研发计划、军科委GF项目、工信部项目、XXX外协项目。主要从事数值代数、控制理论研究。近5年在计算数学、控制领域、数据科学权威期刊SINUMSISCAutomaticaIEEE TKDEJCPJSCCSIAM-AM发表学术论文20余篇。

    内容/CONTENT:

    Matrix splitting iterative methods with parameters play a crucial role in solving linear systems. How to choose optimal splitting parameters is a key problem. In this talk, we propose a data-driven approach for predicting optimal iterative parameters: multi-task kernel learning Gaussian regression prediction (GPR) method. We develop the generalized alternating direction implicit (GADI) framework with optimal parameters, successfully integrating it as a smoother in algebraic multigrid methods to solve linear systems. Moreover, we accelerate GPR using mixed precision strategy and evaluate the predicted results with statistical indicators. Further, we have successfully applied GPR to (time-dependent) linear algebraic systems (elliptic equations, Poisson equations, convection-diffusion equations, Helmholtz equations) and linear matrix equations (Sylvester equations). Numerical results illustrate our methods can save an enormous amount of time in selecting the relatively optimal splitting parameters compared with the exists methods. When the system size exceeds hundreds of thousands, the acceleration ratio of the GADI framework can reach hundreds to thousands of times.

    哈尔滨工业大学(深圳)

    主题/TOPIC:Mechanism of Ductile-to-BrittleTransitionin Body-centered

    时间/DATE&TIME:617日(周三)1600

    地点/LOCATION:哈尔滨工业大学(深圳)H611

    主讲人/SPEAKER:韩卫忠  香港城市大学材料科学与工程学院教授

    Dr. Wei-Zhong Han,Department of Materials Science and Engineering, City University of Hong Kong. His research focuses on the mechanical behavior of metallic structural materials, irradiation effects, and design of high performance advanced structural materials. His honors include the Excellent Young Scientists Fund from the National Natural Science Foundation of China (NSFC)-2019, the National Young Talents Program for Overseas-2015, and the Shaanxi Provincial Hundred Talents Program-2016. He was awarded the First Prize of Science and Technology Award by the Chinese Materials Research Society and the First Prize of Shaanxi Provincial Outstanding Research Achievement Award for higher education institutions.

    内容/CONTENT:

          Body-centered-cubic metals including steels and refractory metals suffer from an abrupt ductile-to-brittle transition (DBT) at a critical temperature, hampering their performance and applications. Temperature-dependent dislocation mobility and dislocation nucleation have been proposed as the potential factors responsible for the DBT. However, the origin of this sudden switch from toughness to brittleness still remains a mystery. Here, we discover that the ratio of screw dislocation velocity to edge dislocation velocity is a controlling factor responsible for the DBT. A physical model was conceived to correlate the efficiency of Frank-Read dislocation source with the relative mobility of screw versus edge dislocations. A sufficiently high relative mobility is a pre-requisite for the coordinated movement of screw and edge segments to sustain dislocation multiplication (see Figure below). Nanoindentation experiments found that DBT in chromium requires a critical mobility ratio of 0.7, above which the dislocation sources transition from disposable to regeneratable ones. The proposed model is also supported by the experimental results of iron, tungsten and aluminum.

    往期精选

    赠票福利&专属折扣|三部当代舞杰作,三十年流变,是梦,亦是你我

    深圳大学城第247期讲座纵览(6.3-6.10)

    @2026届毕业生:北大校友卡办理绿色通道限时开启!

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    1. CONNECT:[ UseTime:0.000348s ] mysql:host=127.0.0.1;port=3306;dbname=c460;charset=utf8mb4
    2. SHOW FULL COLUMNS FROM `fenlei` [ RunTime:0.000572s ]
    3. SELECT * FROM `fenlei` WHERE `fid` = 0 [ RunTime:0.000297s ]
    4. SELECT * FROM `fenlei` WHERE `fid` = 63 [ RunTime:0.000275s ]
    5. SHOW FULL COLUMNS FROM `set` [ RunTime:0.000518s ]
    6. SELECT * FROM `set` [ RunTime:0.000247s ]
    7. SHOW FULL COLUMNS FROM `article` [ RunTime:0.000651s ]
    8. SELECT * FROM `article` WHERE `id` = 613421 LIMIT 1 [ RunTime:0.006214s ]
    9. UPDATE `article` SET `lasttime` = 1781689151 WHERE `id` = 613421 [ RunTime:0.002935s ]
    10. SELECT * FROM `fenlei` WHERE `id` = 64 LIMIT 1 [ RunTime:0.000337s ]
    11. SELECT * FROM `article` WHERE `id` < 613421 ORDER BY `id` DESC LIMIT 1 [ RunTime:0.002366s ]
    12. SELECT * FROM `article` WHERE `id` > 613421 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001529s ]
    13. SELECT * FROM `article` WHERE `id` < 613421 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.009301s ]
    14. SELECT * FROM `article` WHERE `id` < 613421 ORDER BY `id` DESC LIMIT 10,10 [ RunTime:0.028410s ]
    15. SELECT * FROM `article` WHERE `id` < 613421 ORDER BY `id` DESC LIMIT 20,10 [ RunTime:0.020919s ]
    0.144211s