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Group photo of all 2020 Waterloo 3MT competitors.

Graduate Studies and Postdoctoral Affairs hosted the first ever virtual University of Waterloo Three Minute Thesis (3MT) competition. Biologist Isabel Hilgendag and vision scientist Yara Mohiar both represented the Faculty of Science. Mohiar won second place, making her the fourth student from the School of Optometry and Vision Science to place/win at the university level competition.

Sadaf Faisal, shown in her her pharmacy.

Being a grad student is tough – there’s course work, comprehensive exams and research to balance on top of managing personal commitments and teaching duties. When you add working at a pharmacy during a global pandemic into the mix, the days only get busier.

But that’s precisely what Sadaf Faisal (pictured above), Waterloo PhD student and pharmacy owner, has been doing.

student selfie in the lab
Sarah Al-Ajeel is a master’s student in biology and is mid-way through her degree.

Accustomed to working in Waterloo’s Neufeld lab, Al-Ajeel, like many other science students, have pivoted their studies and research to adjust to this new work-from-home culture.

Growing up in India, Subha Kalyaanamoorthy followed her love of learning new scientific discoveries and emerging technologies, into the emerging field of bioinformatics. Her passion for bioinformatics research has ultimately led Kalyaanamoorthy to the University of Waterloo, as the newest faculty member in the Department of Chemistry.

Researchers at the University of Waterloo have found an environmentally friendly way to explore life in the depths of the ocean.

Using a new application of a sampling technique called solid phase microextraction (SPME), researchers collected samples from deep sea vent ecosystems to study the biological and ecological processes that occur there, without damaging the surrounding organisms.

Five University of Waterloo students, including Antonio Martinez - a PhD candidate in Waterloo’s Department of Physics and Astronomy, have teamed up with Google to develop software to accelerate machine learning using quantum science.

The collaborative effort resulted in the creation of an open-source hybrid quantum-classical machine learning software platform, called TensorFlow Quantum.