Quantori

Quantori provides comprehensive scientific informatics, data sciences, and digital solutions for the life sciences and healthcare sectors. We serve numerous global pharmaceutical and healthcare clients, offering deep domain expertise with PhD-level skills for AI and technology projects.

VP of Life Sciences Business

Senior Director Life Sciences 

Saleseqn

Providing consulting services to technology SaaS and Consulting organizations. Focused on data-driven approaches to achieving organizational growth.

Founder

Capgemini Engineering

Tessella now part of Capgemini, offers deep expertise in research and development, data science, and engineering delivers rapid business value from your data, whilst helping you progress towards greater digital maturity.  Leading Hybrid Intelligence N. American Life Sciences business. Building strategic partnerships, defining life sciences go-to-market strategy, growing market share, recruiting, mentoring.

Life Sciences AI Sales Director

IDBS

Turned around and led the North American Commercial team to achieve record US growth before and after the acquisition by Danaher. 
Significantly increased US revenue, and built a high-performing commercial team (12 FTE) to support growth plans. 
Defined and executed North American go-to-market strategy. 
Utilized Danaher Business Systems (DBS) tools and processes to achieve growth targets (data-driven approach)

IDBS is a global provider of innovative enterprise data management, analytics and modeling solutions.

Director of North American Sales

Managed IDBS's Strategic Life Sciences accounts (globally). Exceeded revenue targets.

Strategic Account Executive

Tessella

Providing novel informatics solutions and consultancy to the life sciences sector. Tessella excels at both thinking and doing, solving critical business and technology challenges.

Sales Director. Built US Life Sciences business. Defined and led market engagement to increase revenue in the life sciences vertical. Grew revenues through selling specialized, high-technology solutions, and consulting services.

Global Account Director (Life Sciences)

Massachusetts Biotechnology Council

Director of the life sciences informatics committee. Built a steering group of experts and arranged/facilitated Local breakfast meetings and speakers to highlight innovative work in the science/informatics space. 

Mission: To provide meetings where life science informatics professionals can meet one another, build professional networks, and learn more about the challenges and new developments of significance to informatics in the biotechnology and pharmaceutical industries.

Chairman of the Life Sciences Informatics committee

Responsible for developing and managing an internal business development team targetting the pharmaceutical, biotechnology industries, big science, transport, and oil and gas sectors

Sales Executive

SafePharm Laboratories Ltd

Scientist

I operate at the intersection of strategic leadership and hands-on execution. I build, lead, and scale high-performing sales organizations while maintaining direct engagement with enterprise accounts. By combining team leadership with active account management and business development, I drive growth, strengthen client relationships, and position the business for long-term success.

Over the past 20 years, I’ve:

•	Built, led, and mentored high-performing sales teams in AI and SaaS.
•	Managed global accounts and developed go-to-market strategies that drive adoption.
•	Closed multi-million-dollar enterprise engagements and partnerships across R&D industries 
•	Negotiated strategic agreements that expand revenue and accelerate growth.

I’m also the author of Mastering AI Sales: Essential Knowledge for B2B Professionals, a practical playbook that equips founders, consultants, and sales leaders with frameworks to win complex AI sales.
👆 Now available – click the link in my profile header to get your copy.

My mission goes beyond hitting revenue targets. I align advanced technology with business value,  ensuring organizations don’t just adopt AI, but turn it into measurable growth.

Specialties
•	Building & Scaling Sales Teams
•	Enterprise AI Sales & Stakeholder Management
•	Go-to-Market Strategy (Consulting + Product Hybrid Models)
•	Strategic Partnerships & Revenue Expansion
•	Cross-Functional Leadership & Commercial Alignment

Let’s connect if you’re scaling AI solutions, leading enterprise transformations, or looking to accelerate sales impact in complex markets.

David Walker

Everyone says they’re “doing AI in pharma.”
Few actually make it work.

Because AI in life sciences isn’t just about engineers.
It’s about people who understand the science.

At Quantori, our teams blend computational chemists, data scientists, and AI engineers.
They speak the language of R&D, not just code.

That’s why our clients trust us with AI that impacts real science, not just dashboards.

Curious: What’s the biggest gap you see between AI teams and real-world science?

#Quantori #AI #LifeSciencesAI #MLOps #ScientificComputing #PharmaTech

VP of Life Sciences Business | Leading Enterprise AI Partnerships | Team Builder | Author of Mastering AI Sales | MBA, MSc.

I’ve seen too many R&D teams hit the same wall.
They build amazing models...
then run out of compute, speed, or scalability.

That’s where things fall apart.

At Quantori, we built an end-to-end stack that fixes this:
☁️ Cloud HPC for massive simulations
🤖 MLOps for reliable model ops
🧬 AI frameworks tuned for life sciences

From cloudbursting to multimodal AI, we help teams move fast without losing scientific rigor.

Because in science, performance is essential.

#Quantori #HPC #AIInfrastructure #MLOps #LifeSciencesAI #PharmaTech

90% of sellers treat AI like SaaS.
That’s why 90% of them lose the deal.

SaaS = deployment.
AI = data, trust, and change management.

If the data’s messy, the model fails.
If the buyer doesn’t trust it, the deal dies.

AI sales isn’t about features.
It’s about translation, alignment, proof and building trust.

Different beast. Different playbook.

📘 Mastering AI Sales: Essential knowledge for B2B Professionals breaks it all down → https://a.co/d/4e2S2r6

#AISales #AICommercialization #TrustedAdvisor #EnterpriseAI #GenAI

Open article: Mastering AI Sales Essential Knowledge for B2B Professionals by amazon.com

Mastering AI Sales Essential Knowledge for B2B Professionals

The most powerful currency in AI sales isn’t technology, it’s trust.

AI holds massive promise.
But success depends on one thing:
👉 Becoming the trusted advisor your clients rely on for their toughest challenges.

That’s why one of the most important chapters in my new book is:
📘 “Establishing Trust and Credibility in AI Sales.”

Here’s a quick look inside:
🔑 Be transparent: Show your AI’s strengths and its limits.
🎯 Master your client’s world: Translate AI’s real impact.
💡 Share insight: Become a thought leader, not a vendor.
🤝 Build for the long term: Keep trust growing project after project.

Trust isn’t just a value.
It’s the foundation of every successful AI partnership.

👉 Find your copy here: https://a.co/d/2syW6nw

#AI #AISales #TrustedAdvisor #Credibility #SalesLeadership #ClientRelationships #B2BSales #AIStrategy

Everyone wants AI in production.
Few have the discipline to make it happen.

MLOps isn’t optional anymore.

Without it:
🚫 Models sit idle
🚫 DevOps can’t scale science
🚫 No monitoring. No feedback. No progress

This isn’t a tech issue.
It’s an operational maturity issue.

MLOps is how you turn experiments into impact.

At Quantori, we help life science teams move from proof of concept → production with real MLOps discipline.

Because without it...
your AI isn’t working.

#MLOps #AI #PharmaTech #LifeSciencesAI #Quantori

💡 74% of CEOs say they could lose their job within 2 years if they don’t deliver measurable AI results.

That’s from Dataiku’s new Global AI Confessions Report: CEO Edition, and it perfectly captures the shift we’re seeing across life sciences and pharma.

The message is clear:
The era of “AI exploration” is over.
We’ve entered the era of AI accountability, where strategy, governance, and measurable outcomes define success.

Key insights:
🧠 94% of CEOs believe AI agents could soon advise boards as effectively as humans.
🏁 54% admit competitors already have a stronger AI strategy.
🧬 37% have delayed or abandoned AI projects due to regulatory uncertainty.
⚠️ 94% know employees are already using GenAI tools without approval (“shadow AI”).

For pharma and biotech, the implications are huge:

Translating AI from pilots to platforms is now a C-suite priority.

Governance frameworks, scientific, ethical, and regulatory, need to evolve in step with AI innovation.

Those who build trusted AI frameworks and platforms, not just proofs of concept, will define the next generation of R&D productivity.

📘 Full report by Dataiku and The Harris Poll:
👉 https://lnkd.in/eEUw9HJt

#PharmaAI #LifeSciences #AIinR&D #DigitalTransformation #AIAccountability #QuantoriAI

Open article: Global AI Confessions Report: CEO Edition by pages.dataiku.com

Global AI Confessions Report: CEO Edition

Proud to see our vision for agentic AI in Life Science R&D gaining momentum.
 Q-Scientist is redefining how scientists design, test, and learn — faster than ever.
 Details below 👇

Principal and Chief Scientific Officer at Quantori

The future of Life Science R&D is agentic AI.

The buzz at BioTechX Europe this month was incredible! We were honored to present our vision for scientific acceleration with Q-Scientist, our R&D AI/ML platform.

What is agentic AI, and how does Q-Scientist make it possible? It’s about building powerful, flexible workflows using our Multi-Agent Flow Builder. 

This capability lets scientists:
*Design intuitive, powerful workflows without heavy coding.
*Leverage a knowledge library and life science models tailored for genomics,   proteomics, and drug discovery.
*Significantly speed up time-to-insight across the R&D pipeline.

If you missed our talk, "Q-Scientist: A Tailored AI Ecosystem for Life Science R&D," you can download the slides here: https://lnkd.in/e_pV5jCr
Want a deeper dive? Explore Q-Scientist: https://lnkd.in/edxB7XCp

Huge thanks to my co-presenter Artem Terentyuk and the entire Quantori team for a fantastic week of learning and networking!

#Quantori #BioTechX #DrugDiscovery #Genomics #AIAgents #RDAI #BiotechAI

Open article: Building a Trusted AI Hub for a Leading US Healthcare Center | Quantori by quantori.com

Building a Trusted AI Hub for a Leading US Healthcare Center | Quantori

Automation and Manual Testing of Web Applications (API, UI, Databases, Performance):
• Reduced defect leakage rates by 29% through comprehensive UI and API testing with Postman for Laboratory Information Management System
• Automated 72% of repetitive test cases using Python, Pytest and Playwright, cutting regression testing time by 40%
• Optimized system throughput by 15% by resolving bottlenecks identified during Performance Testing with JMeter
• Enhanced backend system test coverage by 23% through complex Database Validations using SQL
• Improved post-release quality by 18% through implementing automated test cases for an Employee Management System using Playwright
• Collaborated with the DevOps team to integrate testing workflows into CI/CD pipelines with GitHub Actions and Azure DevOps, reducing deployment errors by 20%
• Produced detailed reports on testing outcomes and risks, driving informed decision-making among stakeholders

QA Engineer (Automation & Manual)

• Conducted UI and API testing for QSAR Scoring Portal, ensuring cross-browser and cross-device compatibility with a defect detection rate of 65%
• Devised and executed comprehensive test plans, identifying and resolving critical issues within sprint cycles
• Implemented BDD methodologies, streamlining collaboration between development and QA teams and accelerating defect resolution

QA Engineer Intern

National Research University — Higher School of Economics

• Conducted research on advanced topics in Data Science, focusing on the application of Graph Neural Networks for predicting interatomic interactions in molecular structures
• Successfully defended the Master's thesis with a top mark (10/10) and received a recommendation for publication, reflecting the quality and impact of the work
• Applied machine learning techniques to complex datasets, enhancing the understanding of molecular interactions and improving prediction accuracy
• Collaborated with faculty and peers to advance scientific knowledge and contributed to a research-driven approach within the academic community

Data Science Student Researcher

I’m a QA Automation Engineer with 1.5+ years of experience and a Data Science background, passionate about developing efficient test automation solutions, optimizing workflows, and ensuring software quality at every stage of development. My approach combines technical expertise with analytical problem-solving to drive innovation and reliability.

What I bring to the table:
✔️ Test Automation & QA Expertise – Web, API, UI, and database testing using Python, Playwright, Pytest, Postman, and SQL.
✔️ Python & Data Science – Strong programming skills with experience in machine learning, model validation, and data preprocessing.
✔️ Performance & CI/CD – Optimizing system efficiency, integrating automated tests into CI/CD pipelines (GitHub Actions, Azure DevOps).
✔️ Problem-Solving & Collaboration – Bridging QA, DevOps, and development teams to improve software reliability and speed up releases.

For me, QA is not just about finding bugs – it's about enhancing user experience, optimizing processes, and driving software excellence. I am always eager to learn, experiment, and contribute to impactful projects.

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