Dr. Ailie Gallant

Associate Professor

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Biography

Ailie Gallant is an Associate Professor in the School of Earth, Atmosphere and Environment at Monash University. Her research primarily focuses on drought, precipitation variability, and precipitation extremes. She characterizes the trends and characteristics of drought and extreme weather using observations and climate models. Past work has included palaeoclimate investigations that place recent droughts in a longer-term context. Gallant's current research explores the causes of droughts, particularly the role of changes in weather systems. She is passionate about science education, teaching courses related to climate change, hydroclimate, and hydrology. Beyond academia, she serves as a science communicator, engaging with media and contributing to programs like Melbourne's 3RRR Science Show, Einstein-A-Go-Go. She has collaborated extensively in her field and is involved in several prestigious research centers aimed at studying climate extremes and weather patterns.

Research Interests

Experience

Associate Professor

2019-01-01 — Present

Monash University • Melbourne, VIC, Australia

Teaching courses in climate change, hydroclimate, and hydrology, while leading research on drought and weather extremes.

Lecturer

2014-01-01 — 2018-12-31

Monash University • Melbourne, VIC, Australia

Contributed to teaching and research within the Earth Sciences department.

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.