學歷
University Sorbonne Paris Nord (USPN), PhD 2014

經歷
New York University - Abu Dhabi Campus, Department of Mathematics.
Research Associate 2019-2022
New York University - Abu Dhabi Campus, Department of Mathematics.
Postdoctoral Associate 2015-2019

專長
Partial Differential Equation

個人介紹
My research deals with the mathematical study of Nonlinear Partial Differential Equations (PDEs) arising from physics, chemistry, geometry, and biology. I have a particular interest in the study of singularity formation in Nonlinear PDEs. A singularity is formally understood as starting from a very smooth initial situation and after a time, an infinity shows up in the solution or in one of its derivatives. A fascinating aspect of studying singularities is that it describes a great variety of phenomena appearing in natural sciences and beyond. Some examples of singularities which are often crucial for their appearance in experiments or numerical simulations include reaction-diffusion equations, geometric evolution equations, nonlinear dispersive equations, free-surface flows, Euler dynamics, Bose-Einstein condensates, nonlinear wave physics, bacterial growth, black-hole cosmology, etc. Singularities often correspond to the limiting behavior of mathematical models and hence are of paramount importance in understanding its behavior. My research objective is to develop mathematical tools to analyze the formation of singularity which is one of the modern research topics relevant for the field.
I also enjoy programming and doing numerical simulations of PDEs.

學歷
賓州大學化學系博士(美國) 2009

經歷
國立臺灣大學化學系教授 2022–
國立清華大學化學系教授 2021–2022
國立清華大學化學系副教授 2016–2021
國立清華大學化學系助理教授 2011–2016
美國卡內基美濃大學化學系博士後研究 2009–2011

專長
高分子化學與合成，活性自由基聚合反應，聚醋酸乙烯酯的嵌段共聚物之合成與應用，鑭系金屬串錯合物的合成與鑑定

個人介紹
自2011年起，我有幸到國立清華大學化學系任教，擔任助理教授、副教授、及正教授。在2022年，回到我的母校，臺灣大學化學系，繼續從事研究工作。過去十年，我的研究團隊致力於開發活性自由基聚合的觸媒及方法，探索鈷金屬錯合物調控的活性自由基聚合之反應機制與應用，近來更以有機物取代鈷錯合物來作為反應的觸媒，以降低反應的毒性與成本，大幅增加此方法產業化的可能性。除此之外，我的研究團隊在開發開環聚合的觸媒時，從文獻中發現了一個雙核釔的錯合物，此錯合物具有一部分金屬串錯合物的特徵，又有機會向下延伸，涵括鑭系元素，故激發我們以此系統來合成一系列鑭系金屬串錯合物的想法。經過了一年的嘗試與磨合，我們結合了不同專長的化學團隊，並爭取國科會的經費支持，成功合成出一系列的雙核鑭系錯合物，開創出新的結構平台，可以來研究不同金屬，包括主族金屬、過渡金屬、與鑭系元素，之間的作用力，增進人類對金屬之間作用力的了解與應用。未來在高分子的研究部分，會更偏重新材料的開發與應用價值；而在鑭系金屬串錯合物的研究，則會著重在基礎科學的探究及理論的建立。期待未來在台大的二十年，可以讓我的研究，更上一層樓！

化學系－馬左仲(Manuel Maestre-Reyna) 助理教授

學歷
2011 Dr. Rer. Nat., Philipps University Marburg, Germany.
2006 Diploma in Biochemistry, Philipps University Marburg, Germany.
2005 Licenciatura degree in Biochemistry, Universidad de Valencia, Spain.
2001 First cycle studies in Pharmacy, Universidad de Valencia, Spain.

經歷
2016 – 2022 Visiting Scholar, Institute of Biological Chemistry, Academia Sinica, Taiwan.
2012 – 2016 Postdoctoral Fellow, Institute of Biological Chemistry, Academia Sinica, Taiwan.
2011 – 2012 Laborleiter (lab leader), AG Essen, Department of Chemistry, Philipps University Marburg, Germany.
2008 – 2011 Wissenschaftlicher Mitarbeiter (Research Associate), Department of Chemistry, Philipps University Marburg, Germany.
2006 Research Assistant, Department of Chemistry, Philipps University Marburg, Germany.

專長

• Structural Enzymology
• Structural Biology
• Time-resolved X-ray Crystallography
• Enzyme catalysis
• DNA chemistry
• Photochemistry and photobiology
  

個人介紹
The central subjects of modern chemistry are the structure and reactivity of matter. Many techniques have been developed for the study of one or the other facet of chemical research, although generally structural studies preclude detailed analysis of reactivity, and vice versa. It is only with the advent of X-ray Free Electron Laser (XFEL) radiation facilities and time-resolved serial femtosecond crystallography (TR-SFX) that simultaneous study of structure and reactivity has become possible. Nonetheless, most TR-SFX experimentation has centered on the biochemical field of photoreception. However, direct structural determination of the highly unstable intermediates with ps to ms lifetimes found in enzymatic reactions, was an unattainable “holy grail” of enzymology until a few researchers, including myself, started to employ TR-SFX techniques to isolate them.
In my lab, various time-resolved serial crystallography techniques will be employed to elucidate time-resolved structural snapshots of diverse enzymatic reactions. Among others, we will study DNA repair and damage reactions, as well as the ultrafast formation of magnetosensitive radical pairs by cryptochromes. Finally, I also aim to establish the first time-resolved crystallographic setup at the Taiwan Photon Source, giving the entire Taiwanese structural biology community access to this cutting edge technique at a low cost, and with millisecond time resolution.

化學系－林至闓 專案計畫助理教授

學歷
國立清華大學化學系暨中央研究院國際研究生學程博士 2008
國立臺灣大學化學系碩士 2001
國立臺灣大學化學系學士 1999

經歷
國立臺灣大學化學系助理教授 2022-
國立陽明交通大學應用化學系助理教授 2021-2022
中央研究院原子與分子科學研究所博士後研究 2018-2021
國立臺灣大學凝態科學研究中心助理研究學者 2013-2018
國立交通大學應用化學系博士後研究 2008-2013

專長
分子光譜學、理論計算化學

個人介紹
我近年的研究以分子光譜的理論計算為主，主要包括：帶有氫鍵的分子或離子團簇系統，因費米共振現象導致顯著的非簡諧振動光譜；含氮雜環的芳香族分子，其氮原子取代位置和類型對吸收光譜的影響；以團簇模型描述奈米鑽石缺陷中心等。
在陽明交大應化系、中研院原分所等團隊合作過程中，我發現自己對於教學更有熱忱，今年榮獲母校母系聘用，以專案教師身分加入台大化學系教學團隊，為普通化學及實驗課程的發展貢獻心力，期待帶給學生有趣、有用、有感的學習經驗。

大氣系－曾開治 助理教授

學歷
科羅拉多州立大學大氣科學系博士 2016-2019

經歷
普林斯頓大學大氣與海洋科學系 博士後 2019-2022
美國海洋大氣總署地物流力實驗室 博士後 2019-2022

專長
動力系統模型與機器學習、大尺度氣動力、極端天氣展期預報/氣候變遷

個人介紹
個人喜歡研究一些新的數學方法在流體力學/氣候動力上的應用，目前研究著重在結合統計力學、機器學習以及大尺度氣候動力探討極端天氣的可預報度。舉例來說：如何用機器學習去近似Liouville equation解析解進而產生無限多組的系集天氣預報，測試極端天氣發生的機率以及計算對應的空間結構。
閒暇之餘也喜歡動手寫氣候模式、學新的程式和資料分析方法。

大氣系－Stephen M. Griffith 專案助理教授

學歷
Ph.D. Indiana University - Bloomington 2013

經歷
National Taiwan University, Dept. of Atmospheric Sciences, Project Assistant Professor 2022 - Present
National Central University, Dept. of Atmospheric Sciences, Assistant Research Fellow 2018 ~ 2022
Hong Kong University of Science and Technology, Dept. of Chemistry, M.S. Analytical Chemistry Program Manager 2016~2018
Hong Kong University of Science and Technology, Dept. of Chemistry, Postdoctoral Fellow 2014-2016

專長
Atmospheric chemistry, gas-phase radical chemistry, tropospheric ozone production, aerosol composition and source apportionment

個人介紹
I have been interested in the environment from a young age, both to experience the wonders of what our natural environment has to offer and to understand and preserve it for the future. I then integrated my chemistry knowledge into my interest in the environment and analyze the detailed chemistry occurring all around us in the air we breathe. I now teach atmospheric environment courses with the goal of inspiring students to deeply appreciate Earth’s atmosphere and its importance as a crucial reservoir of important chemical compounds and an arena for exciting chemistry! I also teach graduate writing courses with a goal for each student to produce a high-quality manuscript draft that is nearly ready for submission to an academic journal. My research focuses on the measurement, analysis, and simulation of gas-phase and aerosol pollution. Currently, my measurements are centered around tropospheric ozone production and the underlying radical chemistry, where much of it is powered by the complex suite of organic chemicals in the atmosphere. I also analyze the chemical composition and chemistry of aerosols and clouds to apportion the sources of their chemical components and detail their interaction with gas-phase compounds. Finally, I use 0-D and 1-D models to simulate the explicit gas-phase chemistry and exchange with dry and wet aerosol surfaces.

海洋所－Jeroen Groeneveld 副教授

學歷
2001-2005: PhD at IFM-Geomar, Leibniz Institute of Marine Sciences, Kiel, Germany
1994-2000: Geology Studies Institute of Earth Sciences, University of Utrecht, Netherlands.
1988-1994: Gymnasium Camphusianum, Gorinchem, Netherlands

經歷
2020-2022: Researcher at the University of Hamburg
2017-2020: Researcher at the Alfred Wegener Institute/Centre for Marine Environmental Sciences, University of Bremen
2015-2017: Postdoctoral researcher, Marine Environmental Science Research Center, University of Bremen
2014-2015: Postdoctoral researcher at the Alfred Wegener Institute/Centre for Marine Environmental Sciences, University of Bremen

專長

• Development and application of proxies in inorganic carbonates with a specific focus on trace metal/calcium ratios in foraminifera.
• Calibration of modern day geochemical characterization vs. trace metal content of shells of foraminifera from the water column and shallow sediments in the ocean to define proxies.
• Application of these proxies to reconstruct past changes in paleoclimate and paleoceanography on timescales from the Holocene and the Last Glacial Maximum back to the Pliocene and the Miocene.
  

個人介紹
I am fascinated by system Earth, how things are working, how they have worked and how they will work in the future. To understand this I work on developing proxies, variables of, in my case, geochemical parameters analyzed in the shells of fossilized plankton called foraminifera. Foraminifera are uni-cellular organisms that live not only in the open ocean but also in coastal areas and from the upper water column down to the bottom of the ocean. These proxies record the conditions of the water column in which the foraminifer was calcifying, e.g. its temperature, salinity, age, oxygen content and others. Applying these proxies to ancient sediments, sometimes millions of years old, I reconstruct how conditions during those times were and what we can learn from them for future global climate change. During the Pliocene, 3-5 Myr ago, I used the Mg/Ca in the foraminifera from different waterdepths to show when the Panamanian Gateway, the connection between the Pacific and the Atlantic, closed. During the Miocene, 10-15 Myr ago, I showed how the monsoon system over the Indian Ocean intensified responding to glaciation on Antarctica. And in recent work we show how different temperature proxies in the western Pacific respond either to changes in the monsoon or rather to changing oceanic currents.

統計所－丘政民 特聘教授兼所長

學歷
加州大學戴維斯分校博士(美國) 1997

經歷
中央研究院 統計科學研究所 特聘研究員2017 ~ present
中央研究院 統計科學研究所 研究員2009 ~ 2017
中央研究院 統計科學研究所 副研究員2004 ~ 2009
國家衛生研究院 生物統計與生物資訊組 助/副研究員2000 ~ 2004
國立中正大學 數學系暨數理統計研究所 助理教授 1998 ~ 2000

專長
統計理論與方法、應用統計學

個人介紹
我的研究重點是半參數模式與估計(semi-parametric modeling and estimation)、轉折點問題(change-point problems)、長期數據(longitudinal data)與函數型數據(functional data)、生物統計（biostatistics）等的統計分析方法，以及生物醫學、神經影像(neuro-imaging)、智慧運輸(intelligent transportation)、老化與壽命(aging and longevity)、人口死亡率預測 (mortality forecasting)等統計應用領域。期能從統計方法的研究，使得數據科學的分析與應用獲得理論的支撐，並由應用領域的數據分析探討，從而獲得統計問題研究的動機與方向。

統計所－江其衽 副教授

學歷
加州大學戴維斯分校統計學博士(美國) 2009

經歷
中央研究院 統計科學研究所 副研究員 2016.11 ~ 2022.7
中央研究院 統計科學研究所 助研究員 2011.9~2016.11
SAMSI 博士後研究員 2010.9-2011.8
加州大學柏克萊分校 統計系 博士後研究員 2009.9-2010.8

專長
分類(classification)，降維(dimension reduction)，函數型資料分析(functional data analysis)，無母數迴歸(nonparametric regression)，腦神經影像統計(statistics for neuroimaging)

個人介紹
我的研究主要是發展函數型統計分析方法，由於函數型資料(functional data)是屬於高維度資料(high dimensional data)，在樣本數有限的現實狀況下，有效的資料降維是進行資料分析非常重要的一步，因此，我的研究興趣也包含降維方法的研究。我的合作者跟我一起發展出的方法成功的應用來分析PET (Positron Emission Tomography)，fMRI (Functional Magnetic Resonance Imaging)，PM2.5與 Surface-enhanced Raman Spectrum等等不同領域的資料。特別是近期發展出的函數型分類方法可以藉由分枝桿菌的增強拉曼質譜資料來建立分類準則，這準則可接近完美的分類新觀測資料的菌種。

統計所－陳裕庭 副教授

學歷
國立政治大學統計學系, 2022

經歷
國立臺灣大學統計與數據科學研究所助理教授(2022/8~迄今)

專長
多重轉折點分析、函數數據分析

個人介紹
我目前的研究重點在函數數據序列(functional data sequence)上的轉折點分析，有別於目前多著重於單獨轉折點分析的相關研究，我們允許序列中可存在有多個轉折點，並針對序列的一階穩定性提出相關的假設檢定，同時證明了轉折點估計式的一致性；未來，我們希望能逐步放寬各種背景假設，令理論結果更具一般性，並將目前的成果推廣至序列的高階穩定性，例如偵測序列中的共變函數轉折點。