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By Mockly English · Last updated:
How an AI Researcher Prepped Conference English in Moscow
She had early results in trustworthy AI. The funded conference trip asked her to explain them — clearly — in English.
At a glance
| Role | CS major + AI research intern (MSU) |
|---|---|
| Region | Moscow, Russia |
| Target | Funded AI conference (ICLR-style) |
| Focus | Research intro + motivation + vocab |
| Later | Academic IELTS for masters options |
| Outcome | Structured 60–90s intro with follow-ups |
Timeline
ICLR-style intro
Focus
Trustworthy AI story
Outcome
Academic IELTS later
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“I want to sound confident explaining privacy and robustness — not just read the paper at home.”
Profile
A computer science major at Moscow State University, about 20, who had started AI research roughly five months before coaching. Her early results were on trustworthy and private models — defenses so modern systems do not leak sensitive data — with possible applications in healthcare, finance, and connected devices (IoT). A school-funded conference trip required an HR or researcher interview in English: clear motivation, a short research story, and the vocabulary to explain her work. Later classes shifted toward Academic IELTS and describing data as masters options came into view.
Pain Points
- She could explain her privacy and robustness research in short fragments, but not as a short English story that an interviewer could follow from start to finish.
- Her research introduction drifted into a vague “we” without saying whether she was speaking as an intern, a student, or both.
- She phrased results awkwardly — for example “quality lower just by 5%” — instead of a clear comparison such as “lower than the baseline by 5%.”
- Under pressure she mixed up common research English: trust to AI instead of trust in AI, how we can trust it instead of how can we trust it, reproducted instead of reproduced, and params instead of parameters.
- In long research discussions she overused “absolutely” and had little variety when agreeing or acknowledging a point.
- On the later IELTS path she needed work on v/w and wise pronunciation, and she treated advice as a countable noun.
Goals
- Build a strong 60–90 second introduction: role, research problem, approach, results, and next steps.
- Answer Why this conference? without sounding as if she only wanted to read papers at home.
- Explain privacy and robustness trade-offs and real-world applications in plain English.
- Handle follow-up questions: which methods come next, why this research area, and why this venue.
- Practise math and data English aloud: derivative, integral, fluctuate, anomaly, finite, and infinite.
- Later: build Academic IELTS Part 2 and Part 3 fluency for education and technology topics.
Lesson Notes
These are the classes we actually ran, not a generic curriculum. Each one started from a real interview question.
Class 1
Research story
Conference interview — research introduction
- State your role clearly in the first sentence: research intern at her institute, and also a student at Moscow State University.
- Follow a simple arc: problem, approach, results, next steps. Finish with one line that ties you to the conference.
- Use natural passion phrases in the interview, such as “I’m really interested in…” and “What I find especially surprising is…”
- Clarify we: say whether you worked alone or on a team. Interviewers will ask who did the work.
- Name applications so the privacy work lands: healthcare, finance systems, and connected devices that hold sensitive data.
Class 2
Conference English
Motivation and ICLR-style follow-ups
- When asked why they should select you, practise lines such as: “I actively follow trends in AI and I’m excited to engage with other researchers.”
- Prefer engage, exchange ideas, and network over only “communicate with others.”
- Talk about the culture of reviewing accepted papers and how public discussion increases transparency.
- Prepare follow-ups: why these methods next, why privacy and robustness, and why this conference specifically.
- Homework: shorten the introduction, and talk about a past paper that impressed you.
Class 3
Vocabulary
Math, data, and Academic IELTS
- Practise spoken math for research questions: find, calculate, take the derivative, and evaluate the integral.
- Use precise words under discussion: arbitrary and arbitrarily, finite versus infinite, and life sciences.
- Describe experimental data with phrases such as fluctuates, a general upward trend, and anomaly. Say trust in AI, not trust to AI.
- After conference prep, practise Academic IELTS Part 2 and Part 3 on education and technology — speculate, compare, and justify both sides.
- Fix accuracy that also shows up in academic talk: advice is uncountable; say house prices rather than houses costs; say pick up a book.
Feedback
Coach notes from those sessions, kept as they were given in class.
Role first, then the research
Interviewers need to know you are an intern and a student before they can follow defense trade-offs. Put your status in sentence one.
Compare results to a baseline
“Lower than the baseline by 5%” is clearer than “the quality lower just by 5%.” Conference audiences expect you to say what you are comparing against.
Conference motivation is not paper reading
Say why the international stage matters: feedback, networking, and staying up to date — not only reading PDFs at home.
Vary how you acknowledge points
Swap absolute yes for definitely, for sure, in some ways, or sort of. That sounds more natural in long discussions.
Common Mistakes
Corrections from live answers, the same patterns that showed up in class.
| Heard in class | Use instead |
|---|---|
| “Trust to AI” | “Trust in AI” Use this preposition for belief or confidence. |
| “How we can trust it” | “How can we trust it” Use question word order in follow-ups. |
| “Reproducted” | “Reproduced” This is the standard verb for replicating results. |
| “Pay attention to her advises” | “Pay attention to her advice” Advice is uncountable. |
| “Params” | “Parameters” Use the full form in research English. |
| “Especially houses costs” | “Especially house prices” Price versus cost matters for IELTS accuracy. |
Before and After
Before coaching
- Ownership stayed vague when she said we.
- Metric comparisons were hard to follow.
- She had little variety when acknowledging points.
- Math terms were only half-ready in spoken English.
After coaching
- She had a 60–90 second introduction and a bank of follow-up answers.
- She had clear motivation answers for the conference interview.
- She drilled data and math vocabulary aloud.
- She practised IELTS Part 3 for a possible masters path.
The Result
These notes cover conference prep and later IELTS practice. No offer or acceptance is claimed. The result was a tighter research introduction, clearer motivation language for a funded trip interview, and stronger math and data vocabulary for academic English.
Advice for Early-Career Researchers Presenting in English
- If you are both a student and an intern, say that in sentence one — before you explain privacy trade-offs.
- Practise one clear baseline comparison aloud, such as “lower than the baseline by 5%,” until an interviewer can repeat it.
- Answer Why this conference? with networking and feedback, not “I can read the papers at home.”
- Rehearse the three follow-ups she prepared for: which methods come next, why privacy and robustness, and why this venue.
- Say derivative, integral, and parameters out loud. Conference question time will use them.
Why This Matters for AI Conference English
Conference and lab interviews punish vague ownership and soft metrics more than they punish accent. Non-native researchers who can narrate problem, approach, and result in calm English get the question time they need — whether the venue is an ICLR-style conference or a masters panel later.
Preparing for a similar path? Read Behavioral Interviews in English: A Backend Engineer Case Study.
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Frequently Asked Questions
How do I introduce AI research in under 90 seconds?
Use the structure she practised: role (intern and student), problem, approach, one result compared with a baseline, one next step, then one line that ties you to the conference.
What should I say when asked why this conference?
She moved from “I can read papers at home” to engaging with researchers, exchanging ideas, and staying up to date on an international stage — then she named why that venue specifically.
How do I talk about trustworthy or private AI without hype?
Name the leak risk, the defense trade-off, and a domain where human validation is expensive — healthcare, finance, or connected devices, as in her applications list.
Should researchers also practise IELTS?
In her case, yes once masters options appeared. Academic IELTS Part 2 and Part 3 reused the same skills as research questions — speculate, compare, and justify — plus accuracy fixes such as advice and prices versus costs.
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