BERKELEY LAB Energy Technologies Area To Whom It May Concern: Ms.LIANG Xin worked as an affiliate of my team at Berkeley Lab from August 2015 to January 2016. She participated in and contributed to our three projects.I am pleased to provide this letter recommending her for a position as a researcher or faculty. Xin showed her strong logic and high efficiency in research.The first collaborative project is about big data,which identifies occupancy patterns and rules in office buildings using a data mining approach. The second project is about data analytics,which analyzes the relation between occupants and energy use quantitatively and improves energy baseline prediction by including occupancy data.The third project is about simulation with agent-based software,which visualizes the energy related behaviors of occupants (e.g.,movement,turn on/off lights,open/clos window)in an office building.Main outcomes of her visit are three journal articles under review;she is the first author of the two articles. She is fast learning and good at solving problems in creative ways.Xin had expertise in data analytics (e.g.statistics,data mining)and related tools (e.g.,Matlab,SPSS).Her English skill (both speaking and writing)is excellent.She is self-motivated,diligent and dedicated for the research. Xin is easy-going and has no difficulty in blending in with our international team (my team includes Chinese,Korean,Italian,Hungarian and American).She keeps good relationship with colleagues and enjoys the opportunity to learn from others. I strongly recommend LIANG Xin.If you have any further questions regarding Xin's ability or this recommendation,please do not hesitate to contact me using the information below. Sincerely yours, Tianzhen Hong,PhD Staff Scientist, Deputy Group Leader Simulation Research Group Operating Agent of IEA EBC Annex 66 Editor of Energy and Buildings (510)486-7082;thong@lbl.gov Lawrence Berkeley National Laboratory One Cyclotron Road/Berkeley.California 94720/phone 510-486-4435/fax 510.486-5454Energy Technologies Area To Whom It May Concern: Ms. LIANG Xin worked as an affiliate of my team at Berkeley Lab from August 2015 to January 2016. She participated in and contributed to our three projects. I am pleased to provide this letter recommending her for a position as a researcher or faculty. Xin showed her strong logic and high efficiency in research. The first collaborative project is about big data, which identifies occupancy patterns and rules in office buildings using a data mining approach. The second project is about data analytics, which analyzes the relation between occupants and energy use quantitatively and improves energy baseline prediction by including occupancy data. The third project is about simulation with agent-based software, which visualizes the energy related behaviors of occupants (e.g., movement, turn on/off lights, open/clos window) in an office building. Main outcomes of her visit are three journal articles under review; she is the first author of the two articles. She is fast learning and good at solving problems in creative ways. Xin had expertise in data analytics (e.g. statistics, data mining) and related tools (e.g., Matlab, SPSS). Her English skill (both speaking and writing) is excellent. She is self-motivated, diligent and dedicated for the research. Xin is easy-going and has no difficulty in blending in with our international team (my team includes Chinese, Korean, Italian, Hungarian and American). She keeps good relationship with colleagues and enjoys the opportunity to learn from others. I strongly recommend LIANG Xin. If you have any further questions regarding Xin’s ability or this recommendation, please do not hesitate to contact me using the information below. Sincerely yours, Tianzhen Hong, PhD Staff Scientist, Deputy Group Leader Simulation Research Group Operating Agent of IEA EBC Annex 66 Editor of Energy and Buildings (510) 486-7082; thong@lbl.gov