I The first quality is step-by-step consistency. I have

I desire to join the PhD cohort in the School of Engineering and Applied Science at Yale, in
particular, engaging in Atmospheric Chemistry. The conceptual issue that attracts me is a better
understanding of how atmospheric composition entwines with atmosphere and biosphere in terms of
energy, climate and environmental issues.
The secrets of nature have always been intriguing to me since I cut my wisdom eyeteeth. In
childhood, movements with parents from Hunan, Jiangsu to Guangdong rendered me a puzzle why
there are different climate patterns. The TV program National Geographic Magazine and book series
Ten thousand ‘WHY’ helped me with the answers. In middle school, the documentary An Inconvenient
Truth about greenhouse effect triggered my interest in atmospheric environment. Later, that interest
was piqued by the 2013 Eastern China Smog I experienced, which acquainted me with terms as PM2.5
and AQI, and also affirmed my initiative to apply science and technology to real world challenges. To
satisfy and expand my knowledge of such things as emissions and climate, I entered the world of
atmospheric sciences.
I made the plan of a scientific career upon entering university. Throughout the years in with
atmospheric sciences, I have been striving for greatness in building myself up with fundamental
knowledge, scientific expertise, a clear goal, and acts to overcome challenges. In the process of getting
prepared for graduate study, I have reinforced the following three traits.
The first quality is step-by-step consistency. I have learned to approach the target gradually and
progressively. If I set a long-time goal, I will always arrive. My strength in classwork supports this
point. Ranking the 1st in our school with 2 consecutive National Scholarships, I also spent much time
attending extracurricular lectures and academic seminars during the last three years. My favorite
lectures were Matlab Application in Atmospheric Sciences, devoted to mathematical training and
model problem solving. Of great fascination to me was also inter-institutional seminars where scientists
told us about their current research and its applications to life. All these have significantly improved
my understanding of the subject and further enhanced my interest in it. My extensive knowledge of
sciences proved to be very useful in understanding the principles that underlie atmospheric phenomena.
I also apply this idiosyncrasy towards my actual research. I embarked on the journey of research
at the end of my freshman year, and built foundation for research.
One research project that I am proud of is Inverse Modeling of Aerosol Emissions over Asian
Monsoon Region, supported by National Nature Science Foundation of China (NSFC), where I was
the youngest (junior) but the leading role in the team. Under the supervision of Prof. Jason Blake
Cohen, I set about research on a new modeling methodology for a better understanding of the physics
and chemistry of the aerosols. We simultaneously integrated measurements of AOD and trace gasses
and conducted simulations using 4-D constrained emission scenarios. I worked independently in the
analysis of model outputs and remotely-sensed measurements from the column loadings of chemical
species to long-range transport of fires. This research gave me an extensive experience, since I learned
to familiarize myself with different aspects of theoretical, modeling and computational techniques.
Working on this project during the busiest and most pressured period in college, I also got to handle
multi-tasks and be a master of time. My efforts paid me back with a presentation at the Atmospheric
Composition and Asian Monsoon (ACAM) meeting, a paper submitted to Geographical Research
Letters, and an oral presentation at 2017 AGU meeting with early scientist scholarship.
Another NSFC project that also distinguished me is Diurnal cycle of monsoon rainfall and its role
in regional climate. I engaged in characterizing the features of diurnal rainfall and the interactions
between regional and large-scale forcing with Prof. Guixing Chen, a former researcher at Tohoku
University, Japan. Soon I developed mathematical and computational skills to interpret surface and  satellite data using Tianhe-2 (TH-2) and proposed a useful calibration method for better satellite
application. The preparation for the manuscript sharpened my patience, perseverance and logic in
telling a story. A paper based on the findings was accepted by Journal of Climate. In November 2017,
I presented this work on the International Workshop on Tropical-Subtropical Weather, Climate
and Oceans.
Throughout the past two years, I also enjoyed the weekly group meetings in Prof. Song Yang (a
former NOAA scientist)’s team, where I not only deepened my comprehension of atmospheric
problems but also received professional training in data analysis and programming skills. Consequently,
I have obtained solid theoretical groundwork and abundant research experience.
The second trait is brainstorming. I went to UC Berkeley as a visiting student in the Department
of Earth and Planetary Science after the second year. It was delightful that I can collect all my power
to solve a two-month assignment in one big strike, and think of a comprehensive strategy against an
environmental problem in a few days and tell a logical story. I turned out to win the highest comment
from Dr. Stephen Andrews for my essay and presentation.
The third point is good analytical and mathematical thinking. In 2016, I led a team to participate
in the Interdisciplinary Contest in Modeling (MCM/ICM) organized by COMAP, and we built an
optimal cross-continental transportation model using cellular automation, for which we got the
Outstanding Winner (0.2%) plus the INFORMS Award (0.04%) out of 12,000 worldwide teams. The
work was collected into the Journal of Undergraduate Mathematics and Its Applications.
All the above will help me in pursuing graduate study and future career in research. People
sometimes doubt the ability of a youngster from a non-English speaking country to cope with life in
the US. In the summer of 2017, I engaged in a three-month intensive research in Prof. Jochen Stutz’s
group through the highly selective UCLA Cross-disciplinary Scholars in Science and Technology
(CSST) program for pre-PhD evaluation. I devoted to Modeling the formation pathways of daytime
HONO in LA, making corrections in the initialization of the RACM model and conducting quantities
of test runs to find out a comparable base set-up with in-situ measurement. As a result, my exceptional
performance won me the UCLA CSST Award for Outstanding Research and Best Presentation. I also
harvested a better understanding of urban air pollution and independent experimental modeling skills.
As is seen, my experience of using everyday English stems from working with foreign researchers, as
well as living and exploring in California, giving me assurance I will have no language barrier or
cultural shock abroad.
My broad range of research experience deepened my understanding about atmosphere and puffed
up my interest in being inter-disciplinary. When I go broader and deeper, I observe new and insightful
ideas that motivate me to bridge atmospheric composition, energy, climate and people after
graduation. Yale is one of the few universities in the world that has strong multi-disciplinary research
groups in this field. Additionally, the faculty provide an opportunity to take outstanding advanced
courses and obtain exposure to new views and first-class technology. As I get to better know about the
research teams. I find the research topics of air quality science and engineering of Prof. Drew R.
Gentner close and dear to my heart. I am also attracted by the focus of human activities and
environment of Prof. Edgar Hertwich. Thus, I believe the Ph.D program in EAS is the ideal choice
for me to proceed with this captivating science.
I understand that the above statement is rather immodest, and will require an outstanding
performance after admission. I am absolutely sure I will justify your hopes.