Lan Zhang

Well-versed in the complexities of financial data and the interface between statistics and finance, Lan Zhang is a distinguished Professor of Finance at the University of Illinois at Chicago (UIC). Her scholarly pursuits are deeply rooted in the realms of big data and high frequency financial econometrics, where she has made significant contributions by developing innovative inferential methods tailored for high dimensional and high frequency financial data. Zhang's work is widely recognized and published in leading academic journals, reflecting her profound impact on the field. Her editorial acumen is evidenced by her roles as an editor and associate editor for several prestigious academic journals, where she has helped shape the discourse in financial econometrics and related areas. Her research endeavors have been supported by numerous grants, including those from the National Science Foundation, underscoring the importance and relevance of her work at the intersection of statistics and finance. These grants have facilitated her exploration of complex financial phenomena, enabling her to contribute valuable insights to both academia and industry. Before her tenure at UIC, Zhang honed her academic and research skills as an Assistant Professor and later as an Associate Professor at Carnegie Mellon University. Her academic journey also includes enriching experiences as a visiting scholar at the University of Oxford and the University of Oslo, where she expanded her research horizons and collaborated with international experts. Zhang's dedication to advancing the field of finance through rigorous research and innovative methodologies continues to inspire students and colleagues alike. Her contributions not only enhance the academic community but also provide practical solutions to real-world financial challenges, making her a pivotal figure in the landscape of financial econometrics.