志望動機書_各大学院向け②

シルバー・ウィーク中に各大学院SoPを下書きした。
結局志望校は下記8校に。Ph.D.ではなくMasterに絞った

  • Stanford
  • NCSU
  • NYU
  • Columbia
  • USC
  • USF
  • CMU
  • Harvard

ネイティブの方にチェックを依頼したら、翌日には修正して返信してくれるという神対応。ボランティアでここまでしてくれるなんて、本当頭がさがる。

あと、返信が来ていなかったUSF教授とのアポイントを、ダメ元でもう一回送った。「I’m sorry if you have received the same e-mail previously」という前置きをつけて。これで返信来なかったら、その時はしょうがない。。。

出来上がった、各大学院の志望動機書(Why your shcool?の部分)はこちら

Statement of Purpose (each graduate school)

Stanford
Stanford’s program excites me because of the laboratories there engaging in research that aligns with my interests. The labs of professors Wong, Hastie, and Tibishirani, with their research in phased genome analysis, statistical modeling and prediction in medicine, and modeling of interactions between treatment and covariates, seem particularly well suited to my intellectual goals. The program curriculum goes far beyond general statistics courses, with specialized courses in analytics for big data and data driven medicine. Stanford students’ access to Amazon’s EC2 cloud platform is another big draw for me; the opportunity to do large-scale computing, necessary for analyzing big data, is rarely found in Japan. Finally, the internationally high reputation of your department attracts diverse, top-notch students, and studying in this unique environment will lead me to think creatively and push myself further than I might otherwise.

NYU
NYU’s program excites me because of the laboratories there engaging in research that aligns with my interests. Professor Sontag’s research in developing medical artificial intelligence seems particularly well suited to my intellectual goals. The program curriculum includes solid statistics courses, and goes far beyond general statistics courses, with elective courses in analytics for biostatistics and data-driven medicine. Furthermore, the location of NYU which is located near many companies and industries relying on data science is another big draw for me; the opportunity to do large-scale computing which is necessary for analyzing big data is rarely found in Japan.

NCSU
NCSU excites me because the program curriculum has team-based education and focuses on enhancing communication skills, which is rarely found in other universities. I strongly believe that data scientists’ ability to communicate statistical findings to decision makers in a credible way is as important as data analyzing skills. An article published in November 2014 by journalist Jon Reed entitled “How do we confront the data science skills gap?” says that NCSU is really focusing on a team skills framework that aligns with my interests. Furthermore, interdisciplinary education provided by NCSU via operating independently among the university’s ten colleges is another big draw for me; the opportunity to do large-scale computing which is necessary for analyzing big data is rarely found in Japan.

Harvard
Harvard’s program excites me because of the laboratories there engaging in research that aligns with my interests. The labs of Professor Tarokh with his research in remote health monitoring via mobile and electronic devices, seem particularly well suited to my intellectual goals. The program curriculum goes far beyond general statistics courses, with different elective courses depending on students’ backgrounds. Bayesian data analytics captivates me most among them since Bayesian Networks enable causal reasoning with domain concepts in a visually appealing and more intuitive fashion, and they are well suited to addressing clinical questions. Furthermore, the advanced machine learning course is more theoretical, so I believe I can learn the most important machine learning tools for prediction at your university.

USF
USF’s program excites me because of the laboratories there engaging in research that aligns with my interests. The labs of Professor Bosl with his research in nonlinear signal analysis and machine learning in healthcare systems seem particularly well suited to my intellectual goals. The program offers business communication for analytics in addition to general statistics courses, which I think is necessary in order to communicate statistical findings to decision makers in a credible way. USF students’ access to Amazon Web Services is another big draw for me; the opportunity to do large-scale computing which is necessary for analyzing big data is rarely found in Japan.

USC
USC’s program excites me because of the laboratories there engaging in research that aligns with my interests. The labs of Professor Szekely with his research on the application of the open source information integration software tool Karma seem particularly well suited to my intellectual goals. The program curriculum goes far beyond general statistics courses, with domain-specialized courses in analytics for advanced big data and optimization theory and techniques. USC students’ access to real-life data sets associated with diverse domains including health and medicine is another big draw for me; the opportunity to do large-scale computing which is necessary for analyzing big data is rarely found in Japan.

CMU
CMU’s program excites me because of the laboratories there engaging in research that aligns with my interests. The labs of Professor Neill with his research in creating pattern detection methods for disease surveillance seem particularly well suited to my intellectual goals. The program curriculum focuses more on the computational aspects of data science compared with other universities, which is also very attractive for me. Furthermore, the opportunity to do an internship with a Fortune 1000 company or with a start-up is another big draw for me; the opportunity to do large-scale computing which is necessary for analyzing big data is rarely found in Japan.

Columbia
Columbia’s program excites me because it is home to a world-leading data science institute, which includes the Health Analytics Center. There are no other research centers which collaborate with the City Department of Health and Mental Hygiene and hospitals on such a large scale. The HARVEST patient record system excites me most among the current projects at the Health Analytics Center. The HARVEST system summarizes the patient record at the point of patient care. Furthermore, the labs of Professor Hripcsak with his research in understanding and using the clinical information stored in the electronic health record seem particularly well suited to my intellectual goals. Finally, the internationally high reputation of your department attracts diverse, top-notch students, and studying in this unique environment will lead me to think creatively and push myself further than I might otherwise.