Biobank Intro Series: UK Biobank Observational Data (Part II)
Loading phenotype data in the UK Biobank RAP (Research Analysis Platform) environment
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Biobank Intro Series: UK Biobank Observational Data (Part I)
An ode to the UK Biobank Showcase
New 
Biobank Intro Series: Hardware Settings
Hardware setup lessons for UK Biobank Research Analysis Platform and All of Us Workbench
New 
Biobank Intro Series: Getting Started
How to do biobank analysis without losing your mind
New 
ctDNA as an oncology endpoint
Takeaways from the FoCR symposium
Beyond behavior: How machine learning decodes consciousness and forecasts seizures from brain activity
Reflections on a seminar exploring how AI and brain network analysis can transform patient care
The Tool Consolidation Paradox
Why Fewer Tools Often Means More Complexity
The Twelve Days of Scale-Up
· Lina L. Faller, Ph.D. · Quick TakeA festive tune of crashed jobs caroling in the key of why.
Software Doesn't Age Like Wine
· Lina L. Faller, Ph.D. · Quick TakeWhy Your Data Tools Need Maintenance (And What That Really Means)
Interviewing Is Networking in Disguise
· Lina L. Faller, Ph.D. · Quick TakeThe real win in interviewing is the network you grow along the way.
The Incremental Migration Pattern
· Lina L. Faller, Ph.D. · Quick TakeHow to Rebuild the Plane While Flying It
Starting a Women in Bioinformatics Chapter: A Practical Guide
· Tutorial"Been There, Done That" advice from established chapters
The Five Signals That Scream 'Hire a Data Person Now'
· Lina L. Faller, Ph.D. · Quick TakeA gentle guide for realizing when it's time to call in the data experts and which one you actually need.
Nobody Owns the Data Warehouse (And That's Why It's Broken)
A data warehouse only works when someone truly stewards it, or it quickly becomes a bottleneck.
Thanksgiving in Biotech: A Survival Guide
This season, the polar plunge in cross‑functional communication isn’t just survivable, it’s a chance to thrive.
The Explicit Out-of-Scope Section: My Secret Weapon for Project Trust
Transparency isn't just about what's included, it's about naming what's out of scope.
What Your Favorite Biobank Says About You
We asked 500,000 researchers which biobank they stan, and the results were… scientifically significant.
AI vs. AI Agents in Healthcare: Not the Same Thing!
The distinction between traditional AI and AI agents is crucial for understanding their impact on healthcare.
Write the Test First (Even for Your Science)
Why data scientists should design error messages that guide users straight to solutions.
Data Pipelines That Scientists Can Debug (Without Calling You at 9 PM)
Why data scientists should design error messages that guide users straight to solutions.
AI Agents Are Quietly Redefining Healthcare
AI agents turn healthcare data into real‑time insights, evolving with patients and providers.
The Strategic Value of Simple Solutions
The best solution is the one that solves today's problem without creating tomorrow's.
Data Stewards vs. Data Scientists
Why Biotech Needs Both (But Hires Only One)
Why Data Layer Guardrails are Key to Scalable Self-Service
What is the best kind of security for your data?
The Success Criteria Question: Why I Don't Start with Requirements
The difference between requirements and success criteria
Why Every Series A Biotech Hits the Same Data Wall
Avoid the common data pitfalls that slow down growing biotech companies.
Your Proof-of-Concept Is Not A Platform
The best Proof-of-Concepts teach you what to build next and then get retired.
The Sphere of Inluence in Project Management
How to focus your energy to actually make a difference
Precision Medicine, Through One Lens
Bridging Biology with Clinical Insight
Multi-Source Data Integration
From chaos to clarity: How the medallion architecture transforms messy, multi-source data into trustworthy insights.
Managing Data Engineering Consultants Across 4 Time Zones: What Actually Worked
Strategies to management without real-time communication
The API Strategy Gap in Research
Most biotech companies build applications. Few build APIs.
Change management in small biotech
The "slow down to speed up" paradox
Force Multiplication Through Simple Solutions
The best tech solutions aren't rocket science. They're force multipliers.
Every Quick Fix in Research Code is a Future Investment Decision
The challenge isn't eliminating quick fixes—it's being intentional about which ones you keep and how you document the journey.
The Self-Service Data Paradox
Why do good tools create more questions than they answer?
Managing Up Isn't About Office Politics
Understanding what success looks like from your manager’s perspective is key to advancing your career.
Press Play on Bioinformatics: Snakemake in Action
Ever wish running a bioinformatics pipeline was as easy as pressing “play”? With Snakemake, it can be.
Team Building Isn't About Trust Falls
The best technical leaders figure out what each team member wants from the project—then find ways to deliver it.
The Art of Saying No Without Losing Friends
Scope negotiation isn't about being rigid—it's about being intentional.
How to Turn Stakeholders from Obstacles into Advocates
Technical skills get you the job. Stakeholder management skills make you effective in the job.
The Genomics Diversity Crisis
When 86% of genomic data comes from European ancestry, treatments built on this data will inevitably fail marginalized communities.
The Engineering Report That Never Gets Written
Software engineers routinely write project wrap-up reports. Bioinformaticians? Almost never.
The Post-Mortem No One Wants to Do (But Everyone Should)
Thirty minutes you spend on a post-mortem can save you thirty hours of future firefighting.
The One Question That Changed How I Build Tools
Successful tool development begins with understanding where to draw the finish line.
The Hidden Bottleneck in AI-Driven Drug Discovery
The real challenge in AI-drive drug discovery is the broken data infrastructure.
The Software Engineering Principle No One Teaches in Bioinformatics
Each part of your code should have one job and do it well.
Why Every Biotech Needs a Data Steward
What is a data steward? Why is important?
The Power of Listening Across Teams
Listening skills in bioinformatics is critical
Reactive vs Proactive Bioinformatics
Bioinformatics enlightment occurs when one can regonize it has two main modes: reactive and proactive
Design Docs for Bioinformatics
Should we be designing bioinformatics projects like a software engineer?
Build vs Buy in Biotech
The hidden costs of building vs buying in biotech
Code Review Culture in Research Labs
Not enough code review and you risk irreproducible science, too much and you kill discovery momentum.
The Bioinformatics Triangle: Memory, Elegance, and Speed
How do you balance code aesthetics with performance in your bioinformatics workflows?
The Power of Strategic Data Infrastructure
Great science happens when technical infrastructure meets scientific curiosity
Why Computational Biologists Need Lab Notebooks
Somehow, this fundamental practice gets lost when we move to computational biology
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