Dr. Pierre Nyquist

Associate Professor

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Biography

Pierre Nyquist is an Associate Professor at KTH Royal Institute of Technology specializing in probability theory and its applications. His research encompasses areas such as large deviations, stochastic control, and Monte Carlo methods, along with statistical learning techniques. Through his academic pursuits, he has contributed significantly to the mathematical community, focusing on both theoretical frameworks and practical implementations. His work aims to advance understanding in these fields and to foster educational growth among students in mathematics and related disciplines.

Research Interests

Probability Theory Large Deviations Stochastic Control Monte Carlo Methods Statistical Learning

Experience

Associate Professor

— Present

KTH Royal Institute of Technology • Stockholm, Sweden

Focus on probability theory and its applications.

Requirements for KTH Royal Institute of Technology

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:0
Reading
Required:0
Writing
Required:20
Speaking
Required:0
Total
Required:90
PTE
Listening
Required:0
Reading
Required:0
Writing
Required:62
Speaking
Required:0
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in Science, Engineering, or a related field. Specific course requirements vary by department (e.g., Mathematics, Programming, or Subject-specific credits).
Application Checklist
  • Certificates and diplomas of completed degree
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Letters of Recommendation (if required by program)
  • Summary of Project (if required)
Specialization Notes

Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).