Meet the team.
We are made up of leading scientists and product people aiming to help our customers and the broader Mass Spectrometry community navigate the world around them by making good business, research-based and science experiment decisions.
Andrew is our Chief #MassGeek. He lives and breathes everything massspec and loves to read a lot - about everything. The many science-related hats he wears are all in pursuit of freeing humanity and society from the burden of disease.
A/Prof Andrew Webb
Co-Founder, Chief Scientist
Paula is our ultimate collaboration, customer-loving, translator, chief person in charge. She geeks out on joining the millions of dots to help lift the entire mass spectrometry community while also leadin building making the MD world turn.
Giuseppe has sprinkled his trilingual #massgeek love around the world - from Boston -> Napoli -> Melbourne. As a self-taught coder, he's created brilliant mass spec data analysis solutions, now accessible to every life scientist.
Dr Giuseppe Infusini
Co-Founder, Proteomics Informatics Lead
Aaron is our resident expert when it comes to building magical user experiences. You’ll want his help when 'upping' the priority on any special service features or if you have interest in joining the MD team.
Co-Founder, Technical Product Lead
Sean is our serial tech-startup master having helped many software companies start and grow - both in his hometown Australia and Silicon Valley. He’s seen it all, and loves the thrill of growing early stage technical teams.
Senior Product Software Engineer
Joseph is our go-to data person. Algorithms are his second language. He is a self confessed hyper-verbalist and views life through the lens of data models. You can reach out to jam on anything that involves the words: data, computers, biology.
Brendan is our resident backend and devOps ninja who is obsessed with optimising the way we keep the Mass Dynamics lights on. As a technology leader, he loves to coach emerging software engineers and keep them safe from falling down software rabbit holes.
Senior Product Software Engineer
Dora is our good news megaphone. She draws on decades of marketing and commercial experience across many diverse sectors to help uplift and grow the entire mass spectrometry community.
Dr Mark Condina, Ph.D
Research Collaboration Lead
Dr Anna Quaglieri, Ph.D
Susmita thrives at the intersection of maths, algorithm development, signal processing, bioinformatics and software engineering. She’s also super passionate about teaching the next generation her craft and especially girls in STEM. When she’s not d
Dr Susmita Saha , Ph.D
Signal Processing Engineer
About Mass Dynamics
Mass Spectrometry (MS) is the best scientific tool we have today and most discoveries have involved their use in some form. In the last 100+ years, MS has enabled the discovery of new molecules, signalling pathways and mechanisms of disease. It’s helped us understand how drugs, therapeutic agents and protein structures behave and even helped solve crimes. Ultimately, MS can help answer incredibly complex questions of nature.
MS ought to be accessible by more life scientists. What’s great is that MS instruments receive a lot of attention and in turn hardware innovation occurs at a rapid rate. What’s not so great is that the software to leverage their magic is left behind. Until now.
Mass Dynamics has built Discovery and Targeted MS data analysis services to help the bioPharma and Academic sector efficiently and effectively process, quality-check, analyse and interpret their MS experimental data. Typically taking days, weeks or months, Mass Dynamics can produce results within minutes or hours. With this lightning speed, we are supporting our customers in the acceleration of medical discoveries and drug development, without compromising efficacy or safety.
We help our bioPharma and academic users and the broader Mass Spectrometry community navigate the world around them by making good business, research-based and science experiment decisions. These decisions shouldn’t be dependent on ad-hoc and time-consuming analysis, instead we want to shift mindsets to make it possible for scientists to have and communicate continuous conversations around their data, at any time and from anywhere.