Team:NYU Abu Dhabi/Attributions
Attributions
Research Group Members
Adrian Villanueva
- Amplification Research
- Nucleic Acid Extraction Research
- Reporting Research
- Wet-lab experiments
- Project Ideation
- Device Pathways Brainstorming
Marko Susic
- Sample Collection Research
- Wet-lab experiments
- Primer Design
- Project Ideation
Yujeong Oh
- Experimental Design
- Amplification Research
- CRISPR/Cas system detection Research
- Reporting Research
- Primer Design
- Project Ideation
- Order list for experiments
- Science communication (EdBio)
Michelle Hughes
- Parts
- Wet-lab experiments
- eDNA Research
Sakura Grant
- Parts
- Wet-lab experiments
Zerina Rahic
- Wet-lab experiments
- eDNA Research
Yaman Garg
- Engineering case studies
- Setting engineering constraints and requirements
- Nucleic acid extraction research
- Initial sensing research
- eDNA research
- Reaction medium research
- Device Pathways Brainstorming
- Project Ideation
Abhay Menon
- Fluorescence sensing research, experimental design, prototyping, and testing
Steffanie Dias
- Stakeholder research
- Engineering case studies
- Setting engineering constraints and requirements
Maya Fayed
- Nucleic acid extraction research
- Device Pathways Brainstorming
Ayesha Sameer
- LFA sensing research, experimental design
- Device Pathways Brainstorming
Quim Paredes
- Graphic Design
- Branding
- Video content production
- Wiki visuals and editing
Prajjwal Bhattarai
- Prototyped and built wiki
- Infectious Data Management research
- Prototype Database and API
- Designed LFA quantification software
Mariam ElSahhar
- Engage with wider iGEM community
- Collaborations with iGEM teams
- Monitor competition deliverables
Roba Olana
- Project ideation
- Project management
- Setting engineering constraints and requirements
- Wiki and branding content production
- Stakeholder outreach
- Reaction medium research
- eDNA research
- Device pathways design
Zurab Jashi
- Engineering case studies
- Setting engineering constraints and requirements
- Project Ideation
Safal Shrestha
- Wiki Design and Implementation
Dimitrios Mastrogiannis
- E-CRISPR research
Faculty, Instructors and Postdocs
Ibrahim Chehade
- Project research guidance
- Experimental design guidance
- Lab Training and Lab Supervision
- Order list guidance for Experiments
Esteban Slavemini
- Engineering design process guidance
- Training and advice on manufacturing methods
Stephanne Boissinot, Justin Wilcox, Sandra Goutte
- Advice on sample collection
- Advice on nucleic acid extraction
- Advice on chytrid detection
- Advice on gene selection
- Provisions of amphibian samples
Youssef Idaghdour
- Advice on nucleic acid extraction
Alan Healy
- Advice on project direction
Andras Gyorgy
- Advice on project direction
Rafael Song
- Advice on project direction
Zoltan Derzsi
- Advised on the components and methods possible for fluorescence detection.
Mohammad Qasaimeh
- Advising on engineering aspects of point of care diagnostics such as the use of reaction mediums like microfluidics, sensing techniques, and nucleic acid extraction protocols
NYUAD Courses on Synthetic Biology
BIOL-UH 3218 Synthetic Biology
Synthetic biology aims to use state-of-the-art molecular tools to redesign biological systems by employing the approaches of engineering. The guiding principle in designing synthetic projects is often derived from a systems-level understanding of cellular networks, with metabolic network analyses playing a key role in offering informed hypotheses on how to modify cellular wirings for a desired outcome. This course combines lectures, class discussions, and lab experiments. The course engages students in a guided research project to learn advanced molecular techniques and systems-level analysis. Students become familiar with engineering concepts such as defining biological components as “parts” and cataloging them in synthetic biology parts registries.
ENGR-UH 3130 Quantitative Synthetic Biology
The course focuses on the fundamental principles of biology from an engineering perspective. These principles are necessary to understand the basic mechanisms of living organisms. As the laws of nature governing these mechanisms are expressed as differential equations, the main goal of this course is to introduce and model biological processes using tools from dynamical systems theory, with particular focus on the role of feedback. Throughout this course, students will learn how biological functions can be analyzed and designed using mathematical models, and how to use these models along with tools from controls and dynamical systems theory to predict and engineer the dynamics of biological systems.
