Harvard Medical School, Postdoctoral Fellow, Stem Cell and Regerative Biology, PhD.Research area: The regeneration of the nervous system, Neurodegenerative disease such as glaucoma, ALS and ADMedical imaging and Synthetic Biology. *Published high-index papers, i.e, Nature Communicaiton, Scientific Reports. Dr F is also actively engaged in teaching and mentoring neuroscience for young students, and got exceptional achievements.
PhD in Biological Sciences, University of Cambridge, Bachelor of Biological Sciences, Imperial College London. Main laboratory skills: Drosophila behavior analysis, cell culture, Enzyme assay (elisa), DNA, RNA and protein purification, qPCR, RT-qPCR, mitochondrial respiration assay, confocal microscopy; Programming languages (advanced) : R, Python, Bash; He worked as a PI in the laboratory of renowned professors in the Department of Clinical Neuroscience of Oxford University and the Department of Life Sciences of Imperial College London for a total of 3 years.
Ph.D. and Master's degree in Mechanical and Aerospace Engineering from Princeton University, Bachelor's degree in Theoretical and Applied Mechanics and Double Bachelor's degree in Computer Science from Peking University. Previously worked as a postdoctoral research assistant in the Department of Mechanical and Aerospace Engineering at Princeton University. Outstanding performance in the academic field, serving as a reviewer for multiple international journals, and awarded the Outstanding Reviewer Certificate for the Combustion and Flame journal.
Ph.D. in Mathematics and Master's degree in Physics from California Institute of Technology, and obtained a Bachelor's degree in Mathematics with the highest honors from Amherst College. During his studies, he demonstrated outstanding mathematical talent and research abilities, and participated in and completed multiple mathematical research projects. In addition, he has published multiple mathematical research papers and achieved remarkable results in the fields of convexity theory and number theory. His academic background and rich research experience have made him a highly anticipated newcomer in the field of in Mathematics.
Assistant Professor of Business Analytics at Nova School of Business and Economics (NOVA SBE), a top 25 European business school, and affiliated faculty with NOVA SBE Data Science Knowledge Center. He received M.S. and Ph.D. degrees from Carnegie Mellon University (CMU). His research is at the intersection of econometrics and machine learning, using complex data-driven approaches on a variety of projects with societal impacts.
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"Meeting Embark has brought me many pleasant surprises. The teachers at Embark paid close attention to my interests. They combined my hobbies, academic performance, and target schools to develop a comprehensive academic plan for me and designed a topic that I was very enthusiastic about.
To make the most of every moment, Embark teachers advised me to link my hobbies and activities with a research project and use it to participate in international scientific research competitions to enhance my academic achievements. Among numerous competitions, the teachers believed that STS was particularly suitable for me. With the guidance of Embark mentors, my project also made significant innovations, ultimately earning me the prestigious achievement of STS Top 300! Winning awards at STS is not easy, and indeed, scientific research became the "ace up my sleeve" in my application process."
G - Class of 2022 Embark Alumni, Prestigious STEM Competitions
Achievement: STS Top 300
Admitted to Massachusetts Institute of Technology
"I have a strong interest in economics, especially during the outbreak of the COVID-19 pandemic. I initially focused my research on the connection between the pandemic and the economy. The support from the mentors at Embark was invaluable; their acknowledgment and encouragement felt really good. Balancing academics and research became a crucial issue due to busy academic schedules. My experience taught me to improve efficiency, learn time management, and set deadlines for myself. Whenever I encountered obstacles in my research, I appreciated choosing a topic I was passionate about. My interest and enthusiasm provided me with continuous motivation to overcome these challenges. I am also grateful for the comprehensive assistance from Embark advisors, academic teachers, instructors, and my mentor, who helped me plan my time and progress, patiently answered my questions, and provided me with significant support on both academic and psychological levels. With their help, my project was successfully completed, and I achieved excellent results, winning the first prize in the regional competition."
L - Class of 2022 Embark Alumni, Prestigious STEM Competitions
Achievement: HiMCM Meritorious Award; ISEF Regional 1st Place
Admitted to The University of Chicago
"As a high school transfer student, I met Embark when everything were not on right track. Embark gave me a clear scientific research plan, which made me enlightened and determinated to take this path. From confirming research direction to selecting topics and mentors, my scientific research path gradually shaped. After the interview, my research mentor designed a topic for me based on innovation and feasibility. The main content is to use artificial intelligence to detect whether the interactor suffers from degenerative brain diseases - this was topic that until now I feel is very cleverly designed. It is consistent with the theme of American scientific research emphasizing practicality, and it is more eye-catching among the many entries in the contest.
In my opinion, the selection of the guide for a scientific research project is very important, because the mentor’s research level determines the depth and height of the project. Embark team preformed the perfect coordination which helped me save a lot of time, allowing me to fully focus on what I can accomplish and do my best to achieve excellence in competition."
L - Class of 2021 Embark Alumni, Prestigious STEM Competitions
Achievement: 4 ISEF Awards; STS Top 300; USACO platinum group
Admitted to Massachusetts Institute of Technology
