Note that Q & A for Prospective Graduate Students for Xubin Zeng's Group are provided at the end of this section.
1. Current members:
Prof. Xubin Zeng
Michael Brunke (Research Scientist)
Amir Ouyed Hernandez (Postdoc)
Josh Welty (Postdoc)
Bill Scheftic (Ph.D. student)
Jorge Arevalo Borquez (Ph.D. student)
Rodrigo Delgado (Ph.D. student)
Xueyan Zhang (Ph.D. student)
Brandon Mitchell (Ph.D. student)
Yike Xu (Ph.D. student)
Lauren Cutler (M.S. student)
Richard Maicelain (M.S. student)
Tianyi Hu (M.S. student)
Annalisa Minke (Undergraduate)
Sam Dahl (Undergraduate)
Human dynamics in the LAOI Group throughout the years via group pictures:
February 2020, February 2019, August 2017, December 2016 (Nick and Sarah absent), February 2015 (Kerrie and Bill absent), January 2014, March 2013, January 2012, January 2011, February 2009, January 2008, November 2006, August 2005, August 2004, June 2003
2. Previous research members:
Ross Dixon Postdoctoral Associate, February 2020 - December 2020
Yingjun Wang Postdoctoral Visiting Scientist, October 2019 – November 2020
Yuanhao Fang Postdoctoral Associate, February 2020-August 2020
Luis Gustavo de Goncalves Visiting scientist, August 2017-July 2018
Anton Beljaars Senior Visiting Scientist, January – February 2018
Susan Stillman Postdoctoral Associate, 2016-Jan 2018
Pieter Hazenberg Postdoctoral Associate, 2012-2016
Patrick Broxton Postdoctoral Associate, 2014-2016
Koichi Sakaguchi Postdoctoral Associate, 2013
David Zeng Visiting Scientist, November 2013 – February 2014
Rafael Rosolem Postdoctoral Associate, 2011-2013
Paul Shao Postdoctoral Associate, November 2011 – October 2012
Zhuo Wang Research Scientist, 2006-2011
Cindy Wang Visiting Scientist, October 2010 - September 2011
Mike Barlage Research Scientist, 2001-2007
Shuwen Zhang Visiting Scientist, March 2006 - February 2007
Er Lu Postdoctoral Associate, January 2006 - May 2006
David Zeng Research Associate, 2003-2006
Mingyu Zhou Visiting Scientist, a few months per year from 1998 to 2005
Yongjiu Dai Postdoctoral Associate, 1997-2000
Qiang Zhang Visiting Scientist, Fall 1998 – Spring 1999
Qingcun Zeng Senior Visiting Scientist, Spring-Summer 2006
3. Former students
For graduate students who received M.S. or Ph.D. with Prof. Zeng as the advisor, co-advisor, or committee member and undergraduate student interns under Prof. Zeng’s mentorship, the full list is available here.
4. Q & A for Prospective Graduate Students
Q1: Which degree programs should I apply for?
Answer (A): If you have a B.S. degree, you would apply for M.S. If you have a M.S., you would apply for Ph.D. Our Department offers M.S. and Ph.D. in atmospheric science, hydrology, and hydrometeorology. You only need to choose one.
Q2: Who are your current and previous group members?
A: Check our group pictures (above) and the list of current and previous group members (above)
They work in a variety of fields: university teaching, research (at universities and national laboratories), private sector, higher-education administration, military weather support, science policy, and non-profit organization
Q3: What are your research areas?
A: Our interests are very broad. There are multiple ways to answer this question.
- Land-atmosphere-ocean interface processes, weather and climate modeling, hydrometeorology, remote sensing, nonlinear dynamics, and big data analytics (e.g., machine learning)
- check the title of our current grants
- check the title of our publications
- check the Program of our recent Research Showcase
Q4: What are the research style and highlights of your group?
A: The news media coverage and research highlights are provided here
Our research style is simply "Think Different" and "Just Do It". More specifically, it is to to address a particular issue using whatever datasets, models, and methods are available and needed along with our research insights. This also includes the big data analytics and artificial intelligence in combination with our physical insights. Everybody in our group is exploring different ideas each day until we have an innovative idea on a specific issue. As ideas don't come at the time and on the subject as we hope for, the topics of our publications have been very diverse.
Q5: What do you look for in my applications?
A: Besides carefully reading the whole package, I pay particular attention to quantitative background (e.g., scores for math, physics, and statistics courses); any computer programing experience; and willingness to learn and explore new frontiers.
Q6: If I join your group, what will I work on?
A: Most M.S. students have some vague ideas of what they want to do (e.g., hurricanes, global warming, water resources, weather forecasting, climate modeling, satellite remote sensing, machine learning), but don't have the concrete ideas that can be pursued for a M.S. degree within a 2-year time frame. Therefore, I usually sit down with each new student at the beginning to design a thesis topic of mutual interest. With the broad projects we have, we can be quite flexible (see Q3).
Q7: What types of programming does your group do?
A: Modeling is usually done in Fortran 90 or C. For data analysis, group members typically use Matlab, R, Python, or NCL. If you have any prior programming experience, you will be fine, as group members will help you become familiar with specific programs.
Q8: What approach do you take to the student-advisor relationship?
A: I expect my students to be fairly independent, although my door is always open for questions and guidance. I also encourage my students to interact with other group members.
Q9: What activities and meetings does the group participate in?
A: My group meets weekly when a few members, by rotation, present their research results and/or share their experiences (new graphics, datasets, softwares, and tools), and the remaining members of the group ask questions and offer discussion/critiques. We also hold an annual Research Showcase where each member of the group gives a conference-style presentation of their work, followed by questions or comments from the group. Furthermore, we hold occasional (and optional) happy hours and group lunch.
Q10: How can I prepare myself ahead of time for the demands of my coursework and research?
A: It would be helpful to brush up on math (e.g., differential equations, multivariable calculus), physics (e.g., physics, thermodynamics, fluid mechanics), and computing (e.g., introduction to computing). If you have no programming experience, a powerful and fairly easy language to learn is Matlab.
Q11: What does a research assistantship entail?
A: When funds are available, half-time research assistantships (including the coverage of tuitions) are awarded to group members during the academic year. Being a graduate student supported by half-time research assistantship to do coursework and research is akin to a full time training. I don't keep track of hours, but I do expect students to provide regular updates on their research progresses.