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About Me – Professional Life

My name is Falk Pollok. I am a Senior Research Software Engineer at the MIT-IBM Watson AI Lab.

Selected Projects

Me with my colleagues Grady Booch and Lee Martie at the MIT-IBM Lab in Cambridge on the left as well as with Scott Boag at Stanford on the right.


I have a Bachelor’s and Master’s degree of Computer Science from RWTH Aachen.

Furthermore, I have for multiple years worked for the University of Michigan and with MIT (ongoing).


My publications can be found here, my IBM Researcher Profile is here, my microcredentials can be found here. While the latter are more a side activity, they include:

You can also connect with me on LinkedIn and Twitter.


InfoWorld’s Best of Open Source (BOSSIE) Award 2018
My team received InfoWorld’s Best of Open Source (BOSSIE) award in 2018 for our work on the Fabric for Deep Learning.

One of Five Faces of IBM Research 2021
I was featured as one of the five Faces of IBM Research in 2021 for leading IBM’s Engineering Excellence platform. If you are within the IBM network, you can read more here (“Spotlighting our Engagement Catalysts – 5 researchers driving positive change and culture”). [I also received two Manager’s Choice awards in the years before.]

Research Accomplishment 2021: Neuro-Symbolic Models and World Simulators for Machine Common Sense
From a very young age, humans are able to grasp basic physical and social principles that govern their environment. For example, at around 4 months of age, babies understand that an object does not vanish out of existence even when it is out of sight. Often such principles are not labeled or taught in a direct supervised manner and we refer to them as common sense. As humans grow and develop the ability to communicate in natural language, their common sense understanding develops as well. For example, adults possess an intuitive understanding of Newtonian physics and are able to make accurate predictions and answer questions about dynamic scenes involving interactions between several objects. Common sense is necessary for humans, and other animals, to successfully interact with their environment and achieve their goals, and it is often a prerequisite for learning and solving higher-level tasks, e.g. changing a flat tire. It is likely that the road to general AI and embodied agents will require developing models and systems that have common sense. This accomplishment is for a body of work that led to a significant scientific impact, including more than 20 publications in top tier conferences, invited talks and organized workshops and patents, as well as [budget redacted since confidential, but a multi-million] 4-year DARPA contract, several open source projects including a highly realistic simulation environment for training and testing AI agents, numerous released datasets and benchmarks, and media coverage. This impact is a result of a long-term, cross-organizational and multi-disciplinary teaming effort between researchers and engineers from IBM and our academic partners at MIT, Harvard and Stanford. [If you are within the IBM network, you can read more here.]

Press Coverage

Here is a selection of press coverage about projects I worked on.

Fabric for Deep Learning

IBM Sapphire

Watson Orchestrate

There were multiple articles about the DARPA Machine Common Sense project that I am currently working on, but since they tend to be about the whole project and not my team in particular, I will skip them for now.


“I am convinced that with his abilities and dedication he will be a great addition to any team aiming at pushing the boundaries of machine learning, reasoning and natural language processing for smarter and more natural interaction between humans and computer systems.”

— Prof. Ulrik Schroeder, Professor at RWTH Aachen

“Falk is an exceptionally hard-working and dedicated member of the UMich team making this project happen. He is the lead developer for the project, and as such, manages the integration of research ideas into stable, well-engineered software. He has proven himself to be a critical piece of this multi-million-dollar collaboration between industry and academia.”

— Prof. Walter Lasecki, Professor and PI at University of Michigan

“Falk’s leadership role as an experienced engineer at the MIT-IBM Watson AI lab has been crucial in achieving the goals and deliverables on some of the most central projects in the lab.”

— Dan Gutfreund, Principal RSM and Manager at MIT-IBM Watson AI Lab

“Falk is a research engineer at the MIT-IBM Watson AI Lab. Since he joined IBM, he made important contributions to several projects touching on different aspects of AI such as NLP, vision and reasoning. His expertise in developing integrated AI architectures is invaluable. He is also known to work relentlessly, making sure no problem remains unsolved before he goes to sleep.

— Jessie Rosenberg and Dan Gutfreund (managers at MIT-IBM Watson AI Lab) in my nomination for IBM’s Stage for the Research Engineer

I don’t think I’ve had a collaborator who writes such nice code (and cleans up my mistakes nearly as well)!

— Dan Bear, Postdoctoral Research Fellow at Stanford

“Falk, I want to thank you for your incredible contribution to the Engagement Catalysts efforts in 2021. Yours is the most significant contribution – you laid the ground for our Engineering Excellence platform (announced by Dario!). Your Engineering Excellence talk series is an admirable achievement, that professional event organizers would envy”

— Michal Jacovi, Global Engagement Leader for IBM Research

Work Locations

The view from my previous apartment’s balcony over Boston as well as MIT on the other river side.

My office in Cambridge is exactly on the opposite side of the river – here are some images looking out the windows:

Before IBM Research AI Cambridge and the MIT-IBM Watson AI Lab I worked for the University of Michigan in Ann Arbor.

Besides campus I also liked my apartment:

RWTH Aachen – the university where I studied. [Full disclosure: Images licensed from Alamy.]

Zitadelle Jülich – my school. [Full disclosure: Images licensed from Alamy.]

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