Skip to main content
日·EN·中
Reading your sign-in state
←Back to Advisor outreach · Draft & track
APPLICATION
Advisor outreach · Batch sample

University, professor, research and company data in one place, with sources you can check, for studying and working in Japan.

  • Pathways
  • All tools

Most recommended tools

  • Professor matching280,000+ researcher profiles and a 127,000+ matchable pool, ranked with paper and KAKEN evidence
  • Research plan suiteBring your topic and target professor into drafting, formatting, citations, and review
  • Admissions guide parserExtract windows, must-arrive versus postmark rules, and materials from a PDF or official URL
  • ES smart fillDraft each prompt from your profile, STAR stories, and 1,000+ company research briefs

Before Japan

  • Route planner
  • How to choose a language school
  • Undergrad school ladder
  • Pre-departure checklist

Research & outreach

  • Research direction
  • Statement of purpose
  • Professor outreach
  • Scholarship finder

Careers in Japan

  • Self-analysis
  • Company research
  • Job interview prep
  • Offer & residence steps

Data center

  • Data foundation overview
  • University data
  • Professor & researcher data
  • Company deep-dive library

Services

  • Exam dojo
  • Advisor desk
  • Living in Japan
  • Pricing
AboutContact & feedbackMainland China proceduresTerms of ServicePrivacy PolicyCommerce DisclosureDisclaimerData Sources

Ryugaku Jinja provides decision support and data references. Confirm eligibility, application requirements, and final decisions against current official sources.

Data references: KAKEN · CiNii · researchmap · official university and institutional sites© 2026 Ryugaku Jinja
日·EN·中
Professor contact›Showcase
Example report
Showcase

A checkable first email

Li Ming's background and email are fictional. University, professor, and research context follow official sources below; unsent, no contact.

Batch generation is open — this page is a picture of the finished state.

Opening it required four things at once: per-email charges you can reconcile, reruns of the same batch that never double-charge, a receipt for every single email, and recovery from an interrupted run. All four are in place, so it is open. Each letter costs the same as a single draft; you see this run's cap before it starts and it settles at actual usage. A professor who cannot be written to (cooldown, etiquette window, 事前連絡 restriction) is excluded with a reason and costs nothing.

Read this in English; send the Japanese baseline only after revising it to the sender's facts.

A fictional first-contact draft links public information to the applicant's preparation, requests a meeting about a master's direction, and remains unsent.

Open the professor contact workbenchDraft a batch
ScenarioFirst contact · regular master's research enquiry
SkeletonSubject / identity and purpose / research connection / meeting request
Professors1 professor · 1 sample email
加
Naoki Kato

Tokyo Gakugei University Graduate School of Education / Educational Support and Collaborative Practice Development, Educational AI Research Program

Sample draft · not sent · no CRM record

Generated draft

Subject

Question about a master's research direction and a meeting (Li Ming)

Opening

Dear Professor Kato, My name is Li Ming. I have studied information management, with foundations in Python, SQL, and statistics. In a seminar, I visualised LMS interaction logs. I am considering master's study in the Educational AI Research Program at Tokyo Gakugei University and am writing to ask about a possible research direction.

Research connection

Your public profile lists HCI/ICT and teaching-and-learning support, and the IML homepage briefly introduces a project that detects divergence in class progress from digital-material interaction logs. I would like to examine whether candidate signals in a small set of units could be compared with an independent attainment measure, and how teachers might read that evidence when making instructional judgments about materials. I would not equate divergence in class progress with a learning difficulty; that distinction is the first thing I would need to examine.

Closing

Would it be possible to first meet about this potential master's research direction, and could you please advise on the appointment process and any materials I should prepare? I would be glad to provide a brief research outline if useful. Sincerely, Li Ming

Attachment: none. The draft offers a research outline only if useful; it never says one is attached.

No contact yet. IML lists a shared laboratory entry, not the professor's address; check current requirements before sending.

Personalization map (how to verify this connection)

  • Background

    Fixed fictional input: information-management background; Python, SQL, and statistics foundations; an LMS log-visualisation seminar task.

    It makes the introduction specific without inventing a school, graduation date, paper, or numerical achievement.

  • Research connection

    Professor Kato's public HCI/ICT and teaching-and-learning support context, plus IML's public summary of the digital-material interaction-log project.

    It explains why the question is being asked while preserving the limited scope of a public summary.

    東京学芸大学大学院|組織と教員

    東京学芸大学 IML|研究室ホームページ

  • Meeting request

    The official meeting notice and the applicant details that are still unconfirmed.

    It asks only how to arrange a meeting and what to prepare; it does not set a duration or presume supervision.

    東京学芸大学 IML|研究室ホームページ

Public basis and its limits

  • 東京学芸大学大学院|組織と教員

    The organization and faculty page lists Professor Naoki Kato in the Educational AI Research Program, with HCI/ICT and teaching-and-learning support context.

    2026-09-01
  • 東京学芸大学 IML|研究室ホームページ

    The IML homepage's public summary introduces a tool-development project that detects divergence in class progress from digital-material interaction logs. Its 2026-05-17 notice asks prospective laboratory members to meet first. The summary does not confirm algorithmic detail, outcomes, or novelty.

    2026-09-01

Fixed fictional inputs

  • Background in information management
  • Foundational Python, SQL, and statistics training
  • Seminar experience visualising LMS interaction logs

Still check before sending

Additional information needed

  • Which admission year is being targeted? Do not add it to the subject or email until it is confirmed.
  • What official signature and contact details should be used, and which personal materials truthfully support this background?
  • Will an attachment be sent? This sample has none; offer a research outline only when one is actually ready.

Items to verify (fact checks)

  • Confirm that the target is the regular master's route. The 2025-10-16 notice that non-degree research students are not accepted does not say that master's admissions have stopped.
  • Check the current meeting requirement and contact route; do not infer a professor's personal email address from the public laboratory entry point.
  • Read the source pages again before sending. This draft relies only on the organization page and the IML homepage summary; it does not claim to have verified a full project text, algorithm, outcome, or novelty.

Build a distinct, verifiable research connection for every candidate professor.

Set up a professor contact file