I obtained my Ph.D. degree from the University of California, Santa Barbara. During my Ph.D. study, I worked in the Spatial Temporal Knowledge Observatory (STKO) Lab under the supervision of Prof. Krzysztof Janowicz. Our lab focuses on the role of space and time for knowledge representation and the semantic aspects of geographic information. My research interests include: geospatial knowledge discovery, geospatial semantics, geo knowledge graph, geospatial entity summarization & relevance detection, spatial statistics/analytics, POI conflation, geographic information retrieval, spatial data mining, Linked Data, Semantic Web, geovisualization, and cartography. By exploiting statistical and machine learning models, I'm trying to discover new patterns and solve geographic information science questions from a new perspective.
If you want to discuss about research topics or simply get in touch, please don't hesitate to send me an email. I'm looking forward to potential future collaborations.
Jun. 2019: As of June 2019, I have graduated from UCSB.
Jun. 2019: My work at LinkedIn last summer has been accepted at the 15th International Workshop on Mining and Learning with Graphs (MLG'19) at KDD 2019. See you in Alaska this summer!
Sep. 2018: My work at LinkedIn this summer has been accepted at the Bay Area Machine Learning Symposium (BayLearn 2018) and I'm attending the symposium in October. Hope to see you in Menlo Park!
Aug. 2018: I have two co-authored papers accepted at The International Semantic Web Conference (ISWC 2018). See you in Monterey this fall!
Jun. 2018: I feel very honored to be the recipient of The Jack And Laura Dangermond Graduate Fellowship Award this year!
Nov. 2017: I will be joining LinkedIn as a Machine Learning Intern during Summer 2018.
May. 2017: I will be working as a research engineer intern at HERE Technologies in their CTO research team at Berkeley during the summer.