Microbiome in Health and Wellness
Hello, ! Are you a student, entrepreneur or research scientist? We are excited to welcome you to participate in an exciting hackathon - an event that brings together companies, universities and students to propose innovative ideas at the intersection of Genomics, Business, and Computer Science.
Obesity and Precision Nutrition
Skin and Beauty Products
Pregnancy and FemTech
The hackathon will take place between November 01 and November 28, 2022. Each student team will have the opportunity to develop a minimal viable product (MVP) for one of the hackathon topics. Student teams can be comprised of at least 3 people (business, computer science and biotechnology), and compete against others for mentorship, technical support and guidance from the business/investment community.
Why should you participate? The reason is that real solutions do not just appear out of nothing, they require lots of hard work across many domains, especially when it comes to innovative technologies like sequencing, genomics, microbiome and human health. That is why this program and hackathon are structured to help you get the most from the competition and use the skills and expertise you have to challenge the status quo!
Collaborate & Innovate
Innovate: we are looking for the most promising ideas with business, technology and wellness potential
Engage: join a community of builders supported by an active network of industry and academic partners
Collaborate: work with experts and peers to build solutions that improve health and wellbeing for everyone
Empower: learn to apply your skills in a powerful way and solve challenges business and users need
To prepare for the hackathon, qualified teams can participate in expert-led training that will prepare students to understand and use appropriate terminology and concepts needed to innovate. After completing the training, the best teams will address real problems and propose their solutions to independent judges.
Leverage our Experts to Learn and Grow
Week 1: Microbiome & Technology
- Microbiome Sequencing
- Analytics and Bioinformatics
- Recommendation Systems
Week 2: The Human Microbiome
- Gut, Health and Diet
- Beauty, Comfort, and Aging
- Pregnancy and Fem-Tech
Week 3: Machine Learning & Analytics
- Cloud Infrastructure
- Methods, and Algorithms
- Visualization, UI and UX
Who will speak and present during the training sessions? Who will mentor? Who will be the judges?
Below you will find some of the members of our mentor network that are using their valuable time to share with you their expertise and help you understand and address challenges with microbiome and health.
Raya Khanin, PhD
Dr. Shibi Kannan
Dr. Sonali Khanra
Dr. JB Prajapati
Dr. Chris Taylor
Commercial & Academic Partners
What Makes a Winning Solution?
Business: Concise value proposition, customer journey, inverter pitch, MVP presentation
Sequencing: Process, Collection, Costs, and Other Considerations
Environment/Tools: Cloud, Platforms for Analysis and Databases
User Experience: Excellent solutions that are easy to use
Registration Cost for the Hackathon
Register Now for $100
Group of Students
Register now for $300
Register now for $100
**The program is available with a 65% discount to partner universities and institutions. Registration cost per student is reduced for a group of 4 or 5 students per group. Learn more about the partnership program here: https://edu.omicslogic.com/omics-logic-partnership
What is Omics Logic?
A Growing Community of Students, Experts, and Mentors
Our community leverages publicly available data, online tools for big data analysis, and a network of mentors to help students learn bioinformatics, apply their skills to meaningful research projects and work with mentors on turning their projects into publications or research posters. The programs we offer provide training, access to high-quality tutorials, and tools anyone can learn to use independently. The program is offered at university, high school or community college levels as well as directly to citizen scientists around the world.