Event Schedule (Sunday, October 20th)
8:00am Pacific Time - Video Submissions Due. No late submissions!
9:00am - 1:00pm Pacific Time - Judges Review
2:00pm - 2:45pm Pacific Time - Mandatory Awards Ceremony, with networking with judges in breakout rooms after. Please log into the Zoom 10 min early, as we will start right on time.
Requirements
What to Submit
Please upload your video to YouTube (unlisted), and enter the viewable link in the submission form. Please double check to make sure the link is working! Videos should be up to 5 minutes maximum, and only be submitted by 1 person from your team.
The video should include the below content. It is up to you how much to focus on each section:
Background & Relevance: Briefly introduce the project, its context, and why this problem is significant in the field.
Methodology: Describe the approach, including:
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Data: Type, source, and any notable preprocessing steps.
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Pipeline/Tools: Key tools, models, or algorithms, focusing on anything innovative or unique.
Results & Demo: Show off your final product — whether it’s an interface, tool, and/or model output. Walk through key features or functionality to illustrate how it works and its practical value in a real-world setting.
Interpretation: Explain what these results mean in a biological or technological context. How do they advance understanding or capabilities?
Potential Impact: Highlight the real-world implications of your work, touching on applications or benefits if the problem were fully solved.
Prizes
1st Place Overall
$25k in AWS credits
$3k in Latch Bio credits
$5k in OpenAI credits
100k in EvolutionaryScale credits
SynBioBeta tickets
5 Light Bio plants
Newsletter feature in Bio Pharma Trend
2nd Place Overall
$10k in AWS credits
$2k in Latch Bio credits
$2.5k in OpenAI credits
100k in EvolutionaryScale credits
5 Light Bio plants
3rd Place Overall
$10k in AWS credits
$1k in Latch Bio credits
$1k in OpenAI credits
100k in EvolutionaryScale credits
5 Light Bio plants
EvolutionaryScale Creativity Prize
The team with the most creative use of ESM3 will win the opportunity to present to the EvolutionaryScale team.
Enveda Bio Seedling Prize
The team who best addresses either Enveda challenge will win $10,000 cash and the opportunity to present to the Enveda team.
Ginkgo Prize
The Ginkgo judge will choose their favorite team to win $10,000 in credits.
Recursion RXRX Prize
The team who makes the best use of Recursion's RXRX datasets in their project will win the opportunity to present to the Recursion team.
Adaptyv Bio Translational Prize
The Adaptyv Bio judge will choose their favorite team to win $15,000 in credits to make their project come to live through the Adaptyv Foundry.
Polaris New Artifact Prize
The team who uploads the best certified dataset or associated benchmark in Polaris as part of their project will win $5,000 in cash.
Polaris MolGPS Prize
The team who best outperforms MolGPS on any existing benchmark in Polaris will win $5,000 in cash.
Scale Medicine Prize
The Scale Medicine judge will choose their favorite team to win 2 Meta Quest headsets and Nanome subscriptions.
NVIDIA Prize
The team who makes the best use of NVIDIA hardware/software will receive a detailed feature on NVIDIA's technical blog.
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Christoph Krettler
Enveda Biosciences
Nicholas Larus-Stone
Sphinx Bio
Hannah Le
Latch Bio
Neil Thomas
EvolutionaryScale
John Cumbers
SynBioBeta
Eric Zimmerman
AWS
Berton Earnshaw
Recursion
Charu Jaiswal
OpenAI
Noah MacCallum
OpenAI
Shyamal Anadkat
OpenAI
Dominique Beaini
Polaris
Julian Englert
Adaptyv Bio
Thomas Stanis
Story Health
Uri Laserson
Ginkgo Bioworks
Vega Shah
NVIDIA
Michael Retchin
Scale Medicine
Shang Zhu
Together.AI
Christopher Bettinger
DARPA
Zeming Lin
EvolutionaryScale
Kevin Yang
Microsoft
Marius Wiggert
EvolutionaryScale
Judging Criteria
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Innovation
Evaluates the originality and creativity of the bio x ML solution, focusing on novel algorithms, unique applications of machine learning to biological data, or inventive approaches that push beyond standard methodologies. -
Scientific Rigor and Methodology
Assesses the scientific and technical foundation of the project, looking for well-defined methods, logical approaches, and data-driven decisions that demonstrate reliability and replicability in a biological and/or ML context. -
Execution
Examines the project’s implementation quality, emphasizing how effectively the solution integrates biology and ML, technical precision, and any measures taken to ensure functional robustness and user accessibility. -
Potential Impact
Considers the relevance and potential impact of the solution within bioinformatics, healthcare, or biotechnology, with a focus on meaningful applications that could address current challenges / unmet needs or open new avenues in the field.
Questions? Email the hackathon manager
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