Loretta Au Stony Brook University Department of Applied Mathematics and Statistics Math Tower, Room 3-129 Stony Brook, NY 11794-3600 E-mail: lau "at" ams "dot" sunysb "dot" edu Office hours for Spring 2012: (held in Harriman 010) Tuesdays, 1:00 PM – 2:00 PM Wednesdays, 1:00 PM – 2:00 PM Also available by appointment (please email)

Education

Stony Brook University, Stony Brook, NY

PhD Candidate in Applied Mathematics and Statistics

Concentration in Computational Biology

Thesis advisor: Dr. David F. Green

New York University, New York, NY

Bachelor of the Arts in Mathematics (May 2008)

Current Research

Research assistant in the Green Lab at Stony Brook University.

Research objectives:

• Exploring protein sequence space using computational and theoretical methods
• Developing quantitative approaches for understanding protein fitness
• Analysis and interpretation of sequence conservation data

Teaching Experiences at SBU

AMS 151 (Applied Calculus I), Spring 2012, Instructor

• Course Syllabus (PDF)
• Teaching Assistant: Yuanhao Zhang
• Classroom: Melville E4330 (Mon. and Wed., 5:20 PM – 6:40 PM)
• WebWork: AMS151 Section 1
• Blackboard: https://blackboard.stonybrook.edu/webapps/login/
  
• Quiz 1: February 8, 2012 February 15, 2012
• Midterm 1 Exam: February 29, 2012
• Quiz 2: March 21, 2012
• Midterm 2 Exam: April 18, 2012
• Final Exam: May 9, 2012, 5:15 PM – 7:45 PM (Wednesday)

AMS 151 (Applied Calculus I), Fall 2011, Instructor

AMS 510 (Analytic Methods for Applied Mathematics and Statistics), Fall 2010, Teaching Assistant

Instructor: Dr. David Green

AMS 535 (Introduction to Computational Structural Biology and Drug Design), Fall 2009, Teaching Assistant

Instructor: Dr. Robert Rizzo

Recent Poster Presentations

Au, L. and Green, D. F. Quantitative protocol for identifying functionally coupled residues based on mutational effects.
Fifth Annual Advances in Biomolecular Engineering Symposium, New York, NY, USA. (Apr. 2012)

Au, L. and Green, D. F. Quantifying mutational sensitivity for understanding protein fitness.
Chemistry Research Day. Stony Brook, NY, USA. (Nov. 2011)

Au, L. and Green, D. F. Quantifying mutational sensitivity for understanding protein fitness.
The 14th Annual Structural Biology Meeting. Cold Spring Harbor, NY. (Aug. 2011)

Au, L. and Green, D. F. Quantifying mutational sensitivity for understanding protein fitness.
The 25th Protein Society Symposium. Boston, MA, USA. (Jul. 2011)

Au, L. and Green, D. F. Understanding mutability of highly conserved residues in multiple fitness contexts.

New York Structural Biology Discussion Group Sixth Winter Meeting, New York, NY, USA. (Jan 2011)

Recent Talks

Au, L. From Leibniz to a Little Big Planet (TM): using first-principles physics to simulate complex motion.

cSplash 2012 at the Courant Institute of Mathematical Sciences, New York, NY, USA. (Apr. 2012)

Au, L. and Green, D. F. A computational approach for quantifying different aspects of protein fitness.

Joint Group Meetings in Computational Structural Biology, Stony Brook, NY, USA. (Dec. 2011)

Au, L. Computational protein design: approaches and applications.

AMS 535 Guest Lecture, Stony Brook, NY, USA. (Oct. 2011)

Au, L. Enhanced sampling methods in computational biology.

AMS 535 Guest Lecture, Stony Brook, NY, USA. (Oct. 2010)

Au, L and Green, D. F. A computational protocol for quantifying interaction specificity between protein families.

New York Area Protein and Design Mega-Meeting, Stony Brook, NY, USA. (Aug. 2010)