Skip to main content
Carnegie Mellon University
—
—
—
Search
Search
Search this site only
Statistics & Data Science
Dietrich College of Humanities and Social Sciences
About Us
Academics
People
Research
News
Resources
Engage with Us
Dietrich College of Humanities and Social Sciences
›
Statistics & Data Science
›
People
›
Faculty
› Mikael Kuusela
Mikael Kuusela
Assistant Professor
Contact
BH 229B
Email
412-268-3344
Address
5000 Forbes Avenue
Pittsburgh, PA 15213
Personal Website
Areas of Research
STAMPS
Optimization & Algorithms
Statistical Machine Learning
Time Series Forecasting
—
—
—
Search
Search
Search this site only
About Us
toggle About Us section
Departmental Leadership
toggle Departmental Leadership section
Meet the Department Head
Diversity, Equity and Inclusion
Directions, Maps & Parking
Our History
Academics
toggle Academics section
Undergraduate Program
toggle Undergraduate Program section
Majors/Minor
Prospective Students
Current Students
toggle Current Students section
Advising
Study Abroad in Costa Rica
Undergraduate Research Showcase
Dietrich Honors Thesis Requirements
Master of Science in Applied Data Science
toggle Master of Science in Applied Data Science section
Curriculum
How to Apply
Frequently Asked Questions
Alumni Destinations
Ph.D. Programs
toggle Ph.D. Programs section
Research
Application Process
Core Ph.D. Requirements
Statistics/Machine Learning Joint Ph.D. Degree
Statistics/Public Policy Joint Ph.D. Degree
Statistics/Engineering and Public Policy Joint Ph.D. Degree
Statistics/Neural Computation Joint Ph.D. Degree
Master of Science in Statistics
Alumni Destinations
Online Graduate Certificate in Foundations of Data Science
People
toggle People section
Faculty
Emeritus Faculty
Affiliated Faculty
Staff
Postdocs
Ph.D. Students
MADS Students
Research
toggle Research section
AI-SDM
Biostatistics & Epidemiology
Causal Inference
Computational Finance
Computational Neuroscience
CSAFE Lab Group
DELPHI Lab Group
Foundations of Inference
Genomics & Genetics
Graphical Models & Networks
High-Dimensional Statistics
Natural Language Processing & Large Language Models
Nonparametric Methods
Optimal Transport
Optimization & Algorithms
Public Policy & Social Sciences
Sports Analytics/CMSAC
STAMPS
Statistical Machine Learning
Statistical Pedagogy & Educational Research
Time Series Forecasting
News
toggle News section
2024
2023
2022
2021
Resources
toggle Resources section
Teaching Assistant Handbook
toggle Teaching Assistant Handbook section
Become a Teaching Assistant
Assignments
Responsibilities
Conduct
Communication
Academic Integrity
Compensation
Business and Travel Expense Policy
Travel and Non-Travel Expense Forms
Reimbursement Procedures
Visitor Reimbursement Info and Procedures
Engage with Us
toggle Engage with Us section
Corporate Partners & Employers
toggle Corporate Partners & Employers section
Sponsor a Capstone
Continuing/Executive Education
toggle Continuing/Executive Education section
Executive Education
Foundations of Data Science Graduate Certificate
Sponsor Summer Research Experiences
Alumni Engagement
toggle Alumni Engagement section
Alumni Events
Summer Programs
toggle Summer Programs section
Stat & DS Camp for High School Students
Carnegie Mellon Sports Analytics Camp (CMSACamp)
Bridges to Healthcare Technology
Contact Us
Events
▴
