Phenotypic Biologics Discovery

Leveraging computer vision and high-content screening to develop the next wave of therapeutic antibodies.

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Cell-cell interactions drive many disease mechanisms, but are often overlooked in drug discovery.

Our HSC-deep learning platform interrogates these interactions at scale.

We’re developing therapeutic antibodies against these assays to create better treatments for diseases like colorectal cancer.

Our Approach

We’re leveraging computer vision and high-content screening to develop the next wave of therapeutic antibodies against cancer and fibrosis.

The assays we’ve developed allow us to screen interactions between multiple cell types at scale and the deep learning platform we’ve built allows us to efficiently analyze these more complex physiologically relevant disease models. We’re screening and developing our own therapeutic antibodies against these disease models with the goal of bringing ground-breaking drugs to the clinic for diseases like colorectal cancer.

With a state-of-the art pipeline for identifying and optimizing therapeutic antibodies against the phenotypic assays we’re developing, we’re now set to industrialize early stage discovery and maximize our opportunities in the clinic.

Team

Oren Kraus

Oren Kraus

Cofounder

With a PhD from Brendan Frey's lab, Oren was one of the first researchers to apply deep learning to microscopy, publishing multiple times. He is right at the forefront of the deep learning revolution in biotechnology.

Sam Cooper

Sam Cooper

Cofounder

With expertise in molecular biology, oncology, machine learning, and even some practical synthetic chemistry knowledge, Sam is dedicated to realizing ideas that will change the world.

Arif Jetha

Arif Jetha

CSO

With over 8 years of industry experience in antibody discovery and pre-clinical development at Amgen and Northern Biologics, Arif is dedicated to driving Phenomic’s projects across the finish line.

Allison Nixon

Allison Nixon

Biology

Allison completed her PhD with Jason Moffat, a leader in biological drug discovery, where she developed some of the first potential therapeutic antibodies against mechanical signalling.

Etienne Dumoulin

Étienne Dumoulin

Software

With five years of startup experience building products from scratch and time at Accenture developing deep learning solutions, Étienne is firmly in the elite deep learning developer camp.

Liz Koch

Liz Koch

Biology

Liz completed her PhD with Brad Wouter and before this designed and ran phenotypic assays for two years with a biotech start-up, Liz brings these awesome assay dev skills to Phenomic.

Max London

Max London

Biology

Max completed his PhD with Sachdev Sidhu, using phage display to target growth factor receptors with antibodies, that are now being spun out into patentable therapeutics.

Hayley Smith

Hayley Smith

Software

Hayley completed her undergraduate at Waterloo after co-op placements at Apple and Deloitte. She now brings this big tech know-how to Phenomic.

Kshitij Gupta

Kshitij Gupta

Software

Following an undergrad in C.S. from IIT Ropar, Kshitij travelled across the world to study machine learning in Toronto. Kshitij is working closely with partners on advanced segmentation problems.

Grant Watson

Grant Watson

Machine Learning

Before making the leap to AI, Grant completed studies in theoretical physics at Waterloo and Boston University. Grant is now working at Phenomic AI with Jimmy Ba on unsupervised models.

Papers by our founders

PLOS Computational Biology

“Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting”

Alex Lu, Oren Kraus, Sam Cooper, Alan Moses

Molecular Systems Biology

“Automated analysis of high‐content microscopy data with deep learning”

Oren Kraus, et al.

Critical Reviews in Biochemistry and Molecular Biology

“Computer vision for high content screening”

Oren Kraus and Brendan Frey.

Nature Methods (2017)

“Data-analysis strategies for image-based cell profiling”

Juan C Caicedo, Sam Cooper, … , Oren Kraus, et al.

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