Project Aspire - Doctoral Admissions

Gain admission to your

dream college

Your free, 30-minute, video consultation, is your chance to discuss the student’s academic future with one of our Enrollment Specialists.

During the video consultation you will:

Discuss the student’s academic background, goals, and interests

Learn more about Project Aspire’s methodology and team that will help the student achieve their goals

Get a customized plan that best fit the student’s needs

Please note that a parent or guardian must be on the consultati

Book a free consultation

Tell Us a Little Bit About Your Student

Student

Student's first name *

Student’s last name *

Student’s E-mail *

Wechat *

Graduation Year *

2020 or earlier
2021
2022
2023
2024
2025
2026

Preferred Consultation Time

Morning
Afternoon
Night

Which best describes your most recent unweighted GPA? *

A average (3.9-4.0 or 93-100)
A- average (3.7-3.8 or 90-92)
B+ average (3.3-3.6 or 87-89)
B average (3.0-3.2 or 83-86)
B- average (2.7-2.9 or 80-82)

What best describes

the student‘s

academic situation?

We offer systematic support to high-ability students

“

Unlike undergraduate admissions, which focus on general academic achievements, doctoral admissions prioritize the fit between an applicant's specific skills and the current academic market's demands. We provide expert insights to help students strategically plan their research and education, and craft an application profile that aligns with these requirements.

”

The Project Aspire Advantage can help you

Personalized, Team-based Approach

Doctoral applications involve more than crafting a personal statement; From coursework strategy to admission essays, our tutors care about every step of your preparation and growth as a scholar. Beyond admission success, we aim to prepare you for a career in academia.

Real Writing Help

Our doctoral writing tutors are trained in technical and academic writing. We aim to help doctoral applicants significantly improve their writing for research, academia, and application purposes.

100% Doctoral Mentors

Our hallmark lies in our exceptional team of mentors. We match Ph.D. applicants to Ph.D. mentors only, ensuring that each mentor is closely matched to the applicant’s intended major and academic interests.

Academic Integrity

As a community of scholars deeply committed to academic integrity, we uphold the responsibility to ensure our students' research is original. We are dedicated to fostering an inclusive and equitable environment, supporting every aspiring academic in their pursuit of excellence.

How we work

Consult

Schedule a consultation with our Enrollment Team. During the consultation, we'll learn more about your academic journey, and what help you need along the way.

Match

You will confirm your area of interest and intended degree. We'll then match you to academic and admission mentors who are the best fit for you based on your goals.

Meet

You will meet and work closely with your mentors throughout your admission preparation, up until you receive your final offer. We offer support for your coursework and research planning, standardized tests, admission materials, and networking.

Our academic team

Lauren Chiang

Curriculum Designer
(Chief Academic Officer)

Lauren holds a Ph.D. in Education and an MA in Human Development from the University of California, Los Angeles. She is an alumna of Taipei First Girls High School. She is trained in research and teaching with a focus on disability rights and mental health. Her doctoral research was supported by the StartUp grant through OSEP (Office of Special Education Programs) of the U.S. Department of Education. As an Adjunct Faculty at California State University, she mentored graduate students in the Division of Special Education and Counseling and taught graduate-level seminars on interventions, laws and policies, and current research trends.

Michelle Jiang

Academic Lead (Mathematics)

Michelle is a PhD candidate in Mathematics at Harvard University. She holds a Bachelor’s degree in Mathematics from the University of California, Berkeley. Her research, focusing on combinatorics analyzed using techniques from abstract algebra, has been published in the Journal of Symbolic Computing, Collectanea Mathematica, and Le Matematiche.

Waley He

Academic Lead (Economics)

Waley He, a Ph.D. candidate in Economics at Yale University, graduated with Highest Distinction and Magna Cum Laude from Washington University in St. Louis with a Bachelor’s degree in Economics, Mathematics and Computer Science. His research focuses on how monetary policy affects the macroeconomy through the financial sector. He adeptly uses higher-level mathematics and various computer simulations in his research. His research is supported by the National Science Foundation of the United States federal government.

Elena Long

Academic Lead (Computer Science)

Elena, a Ph.D. candidate in Computer Science at the University of Virginia (UVA), holds a Bachelor’s degree in Computer Science with Highest Distinction from UVA. She is trained in security and privacy, including but not limited to application security, network security, and data privacy. Currently, her work revolves around studying privacy within the ad ecosystem. She coaches prospective Ph.D. candidates on computer science research and technical writing.

Sarah Zou

Academic Lead (Social Sciences)

Sarah is a Ph.D. candidate in Economics at the University of Texas at Austin (UT Austin). She holds a Bachelor's degree in Mathematics and Economics and Political Science from Washington University in St. Louis (WUSTL). She is an alumna of Beijing No.4 High School. She is trained in quantitative social sciences, political economy and works on structural estimation, industrial organization, and econometrics. Her current research is on antitrust lawsuit against the current commission structure in the real estate brokerage industry.

Tim Dong

Academic Lead (Financial Engineering)

Tim Dong, a quantitative developer at DRW, graduated as Valedictorian from Washington University in St. Louis with a combined Bachelor’s and Master’s degree in Computer Science and Mathematics. He is an alumnus of Nanjing Foreign Language School. He was a Finalist at International Collegiate Programming Contest North America Championship (ICPC NAC) and William Lowell Putnam Top 150. He is currently working on C++ and Python infrastructure and strategy for high-frequency trading.

Xiaonan Wang

Academic Lead (Engineering)

Xiaonan Wang, a senior software engineer at Google LLC, is skilled in frontend tech stack, SQL, Java, C++, and Objective-C. She holds an MS in Computer Science from George Washington University and a BS in Guidance Navigation and Control from Nanjing University of Aeronautics and Astronautics. At Google, she has also served as a recruitment interviewer and evaluator. She tutors prospective software engineers on programming fundamentals, data structures, and algorithms.

Yanhua Wang

Academic Lead (Quantitative Finance)

Yanhua Wang is a Quantitative and Computational Finance (QCF) candidate from Georgia Tech. She completed her bachelor's degree in Mathematics at Yale-NUS College, where she received the Yale-NUS Global Leader Scholarship. She is an alumna of Hwa Chong Institution. She is trained in machine learning and computational finance at Georgia Tech and at the Julia Lab in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Apart from finance, she tutors Mathematical Olympiads and other high level competitions.

Aaron Wang

Academic Lead (Biomedical Sciences)

Aaron Wang is an MD (Doctor of Medicine) candidate at the University of Melbourne. He holds a 100 percentile MCAT score and a Bachelor's degree in Molecular & Cellular Biology and Psychology from Vanderbilt University with Highest Honor. He is an alumnus of Nanjing Foreign Language School. He has researched at Vanderbilt University Medical Center and is a TA for Genetics, General Chemistry, and Biological Sciences. He coaches medical school application for Australia and United States and MCAT test preparations.

PROJECT ASPIRE