About me

I am currently a Research Associate at HLTCOE@JHU working on cross language information retrieval. I recieved Ph.D. in Computer Science from Georgetown University in 2021, under the advice of Ophir Frieder in the IR Lab, David D. Lewis at Redgrave Data and Jeremy Fineman.
I also consult for the Applied Science Team at Relativity, a leading software company in eDiscovery, on active learning, search systems, and result validation.

My research interests are ad-hoc and high recall information retrieval, active learning, and low-resouce machine learning.

I am also the developer of TARexp, which is an opensource Python experiment framework for Technology-Assisted Review.

我目前是 HLTCOE@JHU 的博士後研究員,主要的研究跨語言搜尋引擎。 2021 年的暑假畢業於 Georgetown University 並得到資訊工程博士學位, 指導老師為 Ophir Frieder (IR Lab) 、David D. Lewis (Redgrave Data) 及 Jeremy Fineman。
我同時是 Relativity 的顧問應用科學家,主要指導主動學習、搜尋引擎及結果認證方法的實務建議及實作方針。 Relativity 提供領先業界 eDiscovery 工具的軟體公司。


我開發了 TARexp。 這是一個特別為 Technology-Assisted Review 而開發的 Python 實驗平台。


HLTCOE, Johns Hopkins University
Postdoctoral Fellow
May 2021 -

Applied Science Consultant
June 2022 -

Brainspace, A Cyxtera Business
Intern Data Scientist
2018 and 2019 Summer

Trading Valley
Chief Frontend Developer
Nov. 2014 - July 2016


IR Lab, Georgetown University
PhD in Computer Science
Cost Reduction and Modeling of
Technology-Assisted Review

2016 - 2021

National Tsing Hua University, TW
BS in Quantitative Finance
Minor: Computer Science & Math
2011 - 2015

Invited Talk

Building Adhoc IR Evaluation Collections with Active Learning. (Invited talk)
Apr 2, 2023 @ ALTARS 2023 (Co-located with ECIR 2023), presented with Dawn Lawrie.
From Monolingual Neural IR to CLIR and to MLIR. Mar. 31, 2023 @ University of Glasgow.
TAR Experiments with TARexp Mar. 16, 2022 @ Relativity.
Cost Modeling for Technology-Assisted Review. Sep. 27, 2021 @ IR Seminar at University of Glasgow.
Choose No More: Combining Keyword Search and Supervised Learning. June 17, 2020 @ Computer Science Seminar in National Chiao Tung University.
"Risk" in Machine Learning. Dec. 31, 2019 @ Quantitative Finance Department in National Tsing Hua University.
From AI in Law to AI in Everything: Decision Support vs Decision Making.

Sept. 10, 2019 @ National Chengchi University.