DDIF
Attend.

DDIF 2027 · The programme

The
agenda.

12 May 2027 · 08:15 · Registration · 30 min

Registration

12 May 2027 · 08:45 · Chair's opening · 15 min

What discovery must prove

Dr Uwe Gottschalk, Operating Partner · Former CSO, Lonza, Keensight Capital · Harsukh Parmar, Former SVP, Global Head of Research & Early Development, Merck KGaA

Why it matters

DDIF opens on the proof decision. Uwe Gottschalk and Harsukh Parmar chair the room together and set its question.

12 May 2027 · 09:00 · Keynote · 45 min

What must a designed molecule prove before the portfolio backs it?

Klaus Baek Simonsen, Senior Vice President and Global Head of Research, Grünenthal

Thesis

Discovery now designs faster than it can prove.

Why it matters

The Chairs have set the proof decision. Klaus Baek Simonsen, Senior Vice President and Global Head of Research at Grünenthal, sets out what a designed molecule must show before the portfolio backs it. The sessions that follow test his answer.

12 May 2027 · 09:45 · Revvity Signals · 30 min

Operational AI for Drug Design

David Gosalvez, Chief Strategy Officer, Revvity Signals

Thesis

Model creation gives way to model operation.

Why it matters

The era of model creation is giving way to the era of model operation. AI-driven discovery will only reach its potential when intelligence moves from isolated prototypes to managed, scalable services embedded in R&D workflows.

12 May 2027 · 10:15 · Voices · 30 min

Has AI moved the constraint from the molecule to the mechanism?

Garry Pairaudeau, CEO and Co-Founder, DaltonTx

Thesis

The constraint has moved from molecule to mechanism.

Why it matters

Design capability is no longer the scarce part of discovery. This keynote asks whether the constraint now sits in the biology, and what that changes at the bench. The coffee follows, then the capital question.

12 May 2027 · 10:45 · Coffee · curated meetings · 30 min

Coffee

12 May 2027 · 11:15 · Panel · 30 min

What does capital now ask of a discovery platform?

Announced shortly

Thesis

Capital follows clinical proof, not platform promise.

Why it matters

Capital in discovery now gathers around molecule design and assets already in human testing. Pharma R&D, an AI native biotech and an investor ask what a platform must prove to be backed. The short talks that follow test the answer.

12 May 2027 · 11:45 · Short talk · 15 min

When is discovery data an asset a buyer will pay for?

Christian Olsen, VP, Strategy, Dotmatics

Thesis

Data is valued only when it changes a decision.

Why it matters

Every discovery company claims its data as an asset. This provocation asks when that data earns a value a buyer will pay for.

12 May 2027 · 12:00 · Short talk · 15 min

Can federated data train a model without sharing the molecule?

Nicolas Triballeau, Director, Drug Discovery Chemistry, Revvity Signals

Thesis

Models need shared data; companies guard their molecules.

Why it matters

The best models want data no single company will share. This provocation asks whether federated approaches close that gap without giving the chemistry away.

12 May 2027 · 12:15 · Short talk · 15 min

Where does the design, make, test cycle still lose its weeks?

Werngard Czechtizky, Vice President, Small Molecule Discovery, GSK

Thesis

Design is fast; make and test still set the pace.

Why it matters

Design now takes days; the cycle still takes weeks. This provocation asks where the time is lost between the design and the decision. Lunch carries it to the tables.

12 May 2027 · 12:30 · Lunch · curated meetings · 75 min

Lunch

12 May 2027 · 13:45 · Turbine · 20 min

When the Experiment Becomes the Model

Szabolcs Nagy, Co-Founder and CEO, Turbine

Thesis

The virtual experiment decides which wet experiments matter.

Why it matters

The virtual experiment does not replace the wet lab. It decides which experiments are worth running, and at what scale. Turbine's simulated cell platform has rationalised discovery decisions across more than thirty programmes with top ten pharma partners.

12 May 2027 · 14:05 · Voices · 20 min

Who signs for a candidate a model proposed?

Announced shortly

Thesis

A model proposes the candidate; a person signs for it.

Why it matters

AI derived candidates are now reaching the portfolio decision. This session asks who signs for them and on what evidence. Day Two's AI Strategy discussion takes the question further.

12 May 2027 · 14:25 · Voices · 20 min

Which experiments should a model never be allowed to skip?

Announced shortly

Thesis

Some experiments are the proof itself.

Why it matters

Models now promise to skip experiments. This session asks which ones remain the proof, and who decides.

12 May 2027 · 14:45 · Coffee · curated meetings · 30 min

Coffee

12 May 2027 · 15:15 · Voices · 15 min

Can a model built on biology beat one built on chemistry alone?

Rory Stark, Senior Director, AI & ML, Altos Labs

Thesis

Chemistry finds binders; biology decides medicines.

Why it matters

Most design models learn chemistry first and biology second. This provocation asks what changes when the model starts from the biology.

12 May 2027 · 15:30 · Voices · 15 min

Who curates the data the model learns from?

Ayelet Ofarim, Principal Scientific Advisor, AI, EMEA, CAS

Thesis

A model inherits every flaw in its data.

Why it matters

Curation is the least visible work in AI discovery. This provocation asks who owns it and what it costs when it is skipped.

12 May 2027 · 15:45 · Voices · 15 min

When should a portfolio stop a programme the model still favours?

Joanna Holbrook, Founder and Principal, moto bio

Thesis

Portfolios must stop what models still favour.

Why it matters

Models rarely say stop. This provocation asks when a portfolio should overrule one, and who carries that call.

12 May 2027 · 16:00 · Voices · 15 min

What does new evidence without animal studies ask of discovery?

Announced shortly

Thesis

Regulators admit new evidence without lowering the standard.

Why it matters

The FDA now admits non animal methods, and ICH M15 is in effect at the EMA. This provocation asks what that evidence asks of discovery teams before the first human dose.

12 May 2027 · 16:15 · Voices · 15 min

What should a European discovery team build rather than buy?

Announced shortly

Thesis

Build or buy decides who owns the next discovery.

Why it matters

Pharma now tests design capability at its own bench before it buys. This provocation asks what a European discovery team should keep in house. The themed tables take it from there.

12 May 2027 · 16:30 · Themed discussion · Chatham House Rule · 30 min

Set by the room

Announced shortly

Thesis

The room sets the question and keeps the answer.

Why it matters

The theme comes from the room's own ranked preferences, gathered before the forum.

12 May 2027 · 17:00 · Leaders Panel · 30 min

Who decides what discovery proves?

Announced shortly

Thesis

Discovery leaders decide what counts as proof.

Why it matters

The day has tested what a designed molecule must prove. Chief scientific officers and heads of R&D now answer who sets that bar. The Chair's close follows, and the dinner tables take it up.

12 May 2027 · 17:30 · Chair's closing remarks · 15 min

Closing remarks, Day One

Dr Uwe Gottschalk, Operating Partner · Former CSO, Lonza, Keensight Capital · Harsukh Parmar, Former SVP, Global Head of Research & Early Development, Merck KGaA

Why it matters

The Chairs close Day One on what a designed molecule must prove. The tables at dinner carry it forward.

12 May 2027 · 17:45 · Drinks · refresh

Drinks

12 May 2027 · 19:00 · Gala dinner · themed tables · The Savoy

Gala dinner

13 May 2027 · 09:00 · Chair's opening · 10 min

Who answers for the model

Dr Uwe Gottschalk, Operating Partner · Former CSO, Lonza, Keensight Capital · Harsukh Parmar, Former SVP, Global Head of Research & Early Development, Merck KGaA

Why it matters

Day Two turns from proof to accountability. The Chairs open on who answers when the model is wrong.

13 May 2027 · 09:10 · Changeover · 5 min

Changeover

13 May 2027 · 09:15 · Keynote · 45 min

What does model informed drug development now ask of the decision maker?

Announced shortly

Thesis

Models now inform decisions; people still answer for them.

Why it matters

The Chairs have named who answers when the model is wrong. This keynote asks what a leader must understand of the model before signing the decision it informs. The safety question follows.

13 May 2027 · 10:00 · Voices · 30 min

Can AI predict toxicity well enough to stop a programme?

Announced shortly

Thesis

Predicting harm is easier than acting on the prediction.

Why it matters

Toxicity models now flag risk before the first animal study. This session asks whether a team will stop a programme on that flag. The coffee follows, then the AI Strategy discussion.

13 May 2027 · 10:30 · Coffee · curated meetings · 30 min

Coffee

13 May 2027 · 11:00 · AI Strategy · 30 min

Where does AI change the decision in discovery, not only the speed?

Announced shortly

Thesis

Faster to the clinic. Not yet better in it.

Why it matters

McKinsey's September 2026 analysis finds AI-enabled programmes reaching first-in-human milestones 15 to 80 percent faster than large pharma medians. IQVIA's 2026 R&D trends report puts their Phase I success at 75%, yet Phase II results match programmes built without AI. This session tests where AI changes the decision in discovery and design, not only the speed.

13 May 2027 · 11:30 · Voices · 30 min

Does a better hit rate change what reaches the clinic?

Dinesh de Alwis, Senior Vice President, Head of Clinical Drug Development, Generate Biomedicines

Thesis

More hits do not mean better candidates.

Why it matters

Screening platforms now report higher hit rates. This session asks whether that changes what reaches the clinic, after the AI Strategy discussion asked the same of speed.

13 May 2027 · 12:00 · Panel · 30 min

When the model is wrong, who carries it from discovery to the clinic?

Announced shortly

Thesis

Errors travel downstream; accountability must travel with them.

Why it matters

A model's error made in discovery is paid for in development. Discovery, development and safety leads ask how accountability travels with the molecule. The tables at lunch take the question into the afternoon.

13 May 2027 · 12:30 · Lunch · curated meetings · 75 min

Lunch

13 May 2027 · 13:45 · Voices · 20 min

Where does physics still beat learning in molecular design?

Announced shortly

Thesis

Physics and learning each fail where the other holds.

Why it matters

Learned models lead the headlines; physics still holds where data is thin. This session asks where each earns trust in design.

13 May 2027 · 14:05 · Voices · 20 min

How does a project team deliver when the model changes the plan weekly?

Announced shortly

Thesis

Fast models make slow projects unstable.

Why it matters

Models now revise the plan faster than teams can deliver it. This session asks how project delivery holds when the design moves every week.

13 May 2027 · 14:25 · Voices · 20 min

What must a closed loop lab prove before it runs unattended?

Laura Matz, Chief Innovation and Technology Officer, Philips

Thesis

Autonomy in the lab still needs a signature.

Why it matters

Closed loop labs now design, make and test with little human input. This session asks what they must prove before a team trusts them to run alone. The afternoon coffee follows.

13 May 2027 · 14:45 · Coffee · curated meetings · 30 min

Coffee

13 May 2027 · 15:15 · Voices · 15 min

Does an AI derived molecule translate any better in patients?

Michael Tolentino, CEO, Vesicor Therapeutics

Thesis

Phase I success is not Phase II proof.

Why it matters

AI derived molecules are now reaching patients. This provocation asks whether they translate any better than molecules built without AI.

13 May 2027 · 15:30 · Voices · 15 min

What should a discovery deal pay for: the platform or the molecule?

Announced shortly

Thesis

Deals pay milestones for molecules, not platforms.

Why it matters

Discovery deals now pay for design capability up front and molecules later. This provocation asks what a partner should pay for, and when.

13 May 2027 · 15:45 · Voices · 15 min

What has forty years of design taught that AI must not forget?

Jonathan Mason, Senior Research Advisor, Drug Design, Independent

Thesis

Every generation of design tools promised the same speed.

Why it matters

Design has been promised a revolution before. This provocation asks what forty years of practice teaches the AI generation.

13 May 2027 · 16:00 · Voices · 15 min

What must discovery hand to development that it never used to?

Announced shortly

Thesis

The handover to development now includes the model.

Why it matters

Development inherits the model as well as the molecule. This provocation asks what discovery must hand over for the decision to stay accountable. The themed tables carry it into the Chairs' close.

13 May 2027 · 16:15 · Themed discussion · Chatham House Rule · 30 min

Set by the room

Announced shortly

Thesis

The room sets the question and keeps the answer.

Why it matters

The theme comes from the room's own ranked preferences, gathered before the forum.

13 May 2027 · 16:45 · Chair's closing remarks · 15 min

Closing remarks

Dr Uwe Gottschalk, Operating Partner · Former CSO, Lonza, Keensight Capital · Harsukh Parmar, Former SVP, Global Head of Research & Early Development, Merck KGaA

Why it matters

The Chairs close DDIF on what the room carries out of London. What it decides here travels with the AI Strategy thread.

13 May 2027 · 17:00 · Close

Close

Discovery designs faster than it can prove.