Curriculum Vitae

Lee, Chien-Hsiu (李見修)

*** ********** *** *** ***, HI 96720, USA

adyq5z@r.postjobfree.com +1-808-***-****

LinkedIn: https://www.linkedin.com/in/chien-hsiu-lee-b91a857a/ GitHub:https://github.com/lchjoel1031/

Experience

Machine Learning Engineering Fellow, UC San Diego Extended Studies June – July 2023

● 15+ mini projects with 1:1 mentoring, including Data Wrangling, EDA, ETL, SQL with Spark, Linear Regression, Logistic Regression, Tree-based Algorithms, XGBoost/CatBoost/LightGBM, Clustering, Anomaly Detection, Time-series Analysis, Recommendation System

● Capstone project: Deploying and optimizing tree-based algorithms (RF, XGBoost, CatBoost, LightGBM) to classify one million time-series objects per day as delivered by the state-of-the-art astronomical imaging surveys. The trained machine learning models are deployed as API via AWS and readily available for real-time classification. Staff Astronomer, Keck Observatory Jan 2022 – Present

● Assisting visiting observers using optical/near infrared imaging and spectroscopy instruments. Maintain, calibrate, and improve the suites of cutting-edge instruments at Keck. Document the changes in Confluence, Jira, and Github. Support data reduction and archiving. Participate in developing and commissioning new instruments.

● Serving as archive scientist to facilitate use of public and proprietary data, including developing front-end applications and back-end APIs, preparing documentations, crafting user tutorials with Jupyter notebooks, and implementing chatbot based on customized trained chatGPT4 instance to maximize the science return of the NASA funded Keck Observatory Archive.

● Team member of the Data Service Initiative to deliver modernized planning, execution, and data reduction software in Python and provide real-time data access.

● Conducting scientific research, including mentoring undergraduate students via the Moore Foundation and NSF funded Akamai program.

Lunar Astronomer, International Lunar Observatory Association Feb 2021 – Oct 2021

● Leading the solicitation of science objectives and call for proposal process for the ILO-X payload, a wide-field camera telescope onboard Intuitive Machine’s IM-1 mission to land on the moon and conducting observations from lunar surface.

● Coordinating with engineers at Intuitive Machine and Canadensys on the ILO-X camera specification, imaging processing, data downlinking capabilities, and integration with the IM-1 mission.

Staff Scientist, NSF’s NOIRLab July 2018 – Dec 2021

● Leading scientific and technical development and deployment of an end-to-end time-domain follow-up observing software and hardware infrastructure for the US astronomical community.

● Delivery of the Arizona-NOIRLab Temporal Analysis and Response to Events System

(ANTARES) that uses analytical models to annotate and characterize 1M objects per night from the Zwicky Transient Facility and scalable to 10M objects per night with the Rubin Observatory. This software product also utilizes Cassandra NoSQL database, ElasticSearch for efficient query, and Kubernetes for containerization

● Project scientist of the Astronomical Event Observatory Network, a program that provides rapid, flexible, programmable access to world-class telescope facilities encompassing the Las Cumbres Observatory, the 4m SOAR telescope, the twin 8m Gemini Observatory for astronomical transients and time-domain astronomy.

Curriculum Vitae

● Conducting scientific research using machine learning algorithms such as time-series analysis, clustering, anomaly detection.

Affiliated Researcher, National Astronomical Observatory of Japan June 2015 – January 2016

● Principle Investigator of JSPS funded project: Time-domain studies of M31

● Leading image reduction, data analysis, database building to serve time-series data of archival M31 data from Isaac Newton Telescope, CFHT, Pan-STARRS, and Palomar Transient Factory with difference imaging analysis

Support Astronomer, Subaru Telescope May 2015 – June 2018

● Instrument scientist for the Faint Object Camera And Spectrograph (FOCAS) and Hyper-Suprime Camera (HSC). Leading software and instrument engineers to provide quality control of obtained imaging data and maintain instrument operational for nightly observations.

● Supports visiting and resident astronomers to carry out observations. Helps astronomers in the preparation of observations and data reduction.

● Conducting scientific research with archival data, including data engineering, deploying computer vision algorithms and time-series analysis to identify recurring pattern at different scales in TB database

● Principle Investigator of NASA-NSF jointly funded NN-EXPLORE program ID 2017-0111 Research Fellow, Max Planck Institute for Extraterrestrial Physics February 2013 – April 2015

● Leading image reduction, data analysis, database management of TB-scale data from Pan-STARRS M31 survey

● Conducting research in microlensing, variable stars, distance scale and publishing results in international meetings

Postdoctoral Researcher, Ministry of Science and Technology October 2011 – January 2013

● Establishing difference image reduction pipeline, data analysis, database management of TB-scale data from Palomar Transient Factory M31 and M33 survey

● Conducting research in variable stars, stellar cluster, transients, distance scale and publishing results in international meetings

Education

2011 PhD in Astronomy (Magna Cum Laude), LMU Munich, Germany Thesis: Microlensing and Variability towards M31

Advisor: Dr. Ralf Bender

2006 M.Sc. in Astronomy, National Central University, Taiwan, M.Sc., Astronomy Thesis: Atmospheric Blow-off and Orbital Evolution of Close-in Extra-solar Planets Advisor: Dr. Wing-Huen Ip

2004 B. Sc. in Physics/Life Science (double major), National Taiwan University, Taiwan