Beyond consulting is the trusted advisor on translational oncology PK/PD modelling. We help drug discovery and development projects to design the right experiment, articulate results with all accessible data, and generate compelling evidence by strengthening the link between preclinical models and clinical data using proven innovative modelling.
Data and clarity.
Company decision makers, regulators and companies that acquire promising drugs want to know not only what the drug does, but also how good the data are supporting these claims. Designing a new molecule for a target, or performing pharmacological studies for compound selection, is tough enough without having to become an expert in mathematical and statistical modelling as well to ensure the right experimental design and data interpretation to satisfy picky company heads, experienced regulators or savvy investors.
The problem is, to get the full range of modelling services (i.e. population PK/PD, quantitative systems pharmacology, preclinical and clinical statistics) you need to support a project throughout drug discovery and development, you often have to work with large consulting firms that either torture your data to fit their over-simplified, preconceived "generic" models so that their junior modellers can turn the handle to deliver half a dozen projects or more a year without spending any time thinking your problem through, or confuse you with unnecessarily large (often sold as “mechanistic”) models built on shaky data from unverifiable studies reported over a few decades so that they can get renewed contract, let alone these would cost you an arm and a leg, and you cannot expect any useful insights from these models to help you design the right experiments to get to key answers quickly.
Since 2011, I have been generating compelling experimental evidence by developing, validating and improving predictive models for over a dozen oncology drug projects at different stages at leading pharmaceutical companies. My work has generated the much-needed clarity for prioritising compounds, experiments and projects for different levels of decision making, and it has been recognised by the Oncology iMed Innovation and Achievement Award at AstraZeneca (from Head of Oncology innovative Medicines & Early Development Susan Galbraith) and as numerous breakthroughs by the Research Portfolio Committee (internal governance board) at Boehringer Ingelheim.
I am a trusted advisor on mathematical and statistical modelling who has collaborated with over 100 chemists, biologists, pharmacologists and statisticians within big pharmas. I created, led and grew the Oncology PK/PD modelling lab at BI in recent years.
If you are exploring a new therapeutic concept and defining PoM, PoP and PoC criteria, or if you are advancing your drug project to the IND stage to trigger clinical studies, I would like to hear from you.
You Tao*, PhD, MSc, BE
* This is a Chinese name. Please address me by my first name Tao.
TALK TO US
Who are our typical clients?
Medicinal chemist, computational chemist
• What is the target compound profile that meaningfully modulates the intended target?
• Do I need to optimise potency further or should I focus on DMPK properties?
• When does it make sense to nominate a compound for in vivo proof of mechanism?
• How do I convince the management the target is validated?
• How do I maximise the value of my in vitro assay to inform in vivo studies?
• Have I selected the right target engagement and pharmacology biomarkers?
• How much clinical biomarker changes (degree and duration) do I need to achieve meaningful pharmacological activity of the treatment?
• Does my data package confirm the therapeutic concept?
• What is a valid target compound profile supported by clinical evidence?
• Do I need a combination partner and why?
• What is the right combination partner to deliver clinical efficacy?
• What should be the target objective response criteria and why?
• How do I show my PK hypothesis is supported by different in vitro, in vivo and clinical studies?
• How I do estimate human PK and eventually human dose for first-in-men study?
Project managers, investors
• What is the minimum preclinical efficacy required to qualify the treatment as a potential clinical success?
• Should I worry about the apparent inconsistency among different types of data?
• What is the one killer experiment I need to see to show this treatment excels in competition?
• Does the value proposition make sense?
PK/PD modeller, pharmacometrician
• Is the published model I am interested in good enough to support decision making?
• Which clinical studies can I use to design a meaningful translational studiy?
• Which is the most representative xenograft model for the intended disease treatment and why?
BROAD AND DEEP
Expertise and services
Pharmacometrics: Population PK/PD, Non-linear Mixed Effects, Synergism, MABEL, TMDD
Clinical Statistics: Survival Analysis
Bioinformatics: Gene Signature (Regression/Bayesian Methods), Clustering, Data Visualisation
Systems Pharmacology: Cancer Signalling (e.g. EGFR, RAS, ERK, WNT, PTEN-p53-MDM2, ATM, WEE1, STING), Cell Cycle-based Modelling, Multi-scale Tumour Growth Modelling
Cancer Drug Discovery & Development: Immunotherapy, Cell-directed Targeted Therapy, Chemotherapy, Radiotherapy
Programming: R, Python, MATLAB, Mathematica, Fortran, WinNonLin, NONMEM, SAS, C, C++, JAVA
Preclinical/Clinical Experimental Design: Define and support Proof of Mechanism, Proof of Principle and Proof of Concept strategies, Assay design
Evaluation of Drug Combination: Quantify in vitro and in vivo synergism, Select combination partner based on in vivo and clinical information
Back Translation-based Analysis: Evaluate and select tumour models for a particular indication, Simulate clinical trial to explore possible Phase II Overall Response Rate
Human Dose Estimation: Human PK Prediction, PBPK-based modelling of special populations
Biomarker Selection: Drug sensitivity gene signatures, Efficacy biomarkers, Target engagement biomarkers
Regulatory Documentation: IND, NDA
What do others say?
Principal Scientist, AstraZeneca
"In recent times Tao has expanded his work into quantitative systems pharmacology - the integration of mechanistic models of biology at a cellular level with drug effect and pharmacokinetics. This has resulted in real insight into the use of anti-cancer agents and has given him good experience with drug discovery data..."
Director Clinical Pharmacology, Bayer
"Tao is a talented PK/PD modelling and simulation expert... Tao's models have facilitated a translational approach between the non-clinical and clinical arena, as well as providing an understanding of how clinical proof of mechanism might be achieved. I've found working with Tao really enjoyable..."
Ask a question
I hope this answers most of your questions. If not, please send an e-mail or leave me a voicemail message, and I will reply within 24h, even when I am on the road. Most of the time it is a lot quicker than that! I am always willing to spend up to a half-hour discussing your situation without any charge. If I cannot help you with your business, I will be happy to refer you to a qualified professional in your area without charge, obligation, or "referral fees" of any kind.
Good luck in your projects, and in all your endeavours!
Ways of getting in touch:
Use book online to arrange a half an hour no-obligation discussion
Use the form below
Call me or leave me a voicemail: +44-7853 073 731