Evenset requires help from an MBA student to help us define the market fit and commercialization path for our new product called Tali.ai. Tali is an information retrieval chatbot from medical free-text. This position involves doing market research on a few verticals to map out the market size, unit economy analysis and identifying the decision […]

As a Sales & Marketing associate I will be responsible for the following: • Work with CSO to create marketing white papers and presentation • Help and support the sales team with presentation and document preparation • Keeping the CRM up to date • Keeping an active online presence on LinkedIn • Support existing customers […]

Rational protein design has had a tremendous impact on pharmaceutical, agriculture, and chemical industries over the past 30 years, by focusing exclusively on individual proteins and their intrinsic activities. The next generation of protein design tasks will seek to modify function inside living cells, competing and interacting directly with pre-existing cellular machinery. Modifying systems in […]

For urgent, life-threatening medical conditions such as cardiac arrest and stroke, treatment is time-sensitive and must be received promptly to maximize the likelihood of patient survival. Previous research has shown that areas with lower socioeconomic status have higher rates of cardiac arrest incidence as well as lower rates of receiving timely treatment and patient survival. […]

Overactive bladder, urinary urgency, affects 14-18% of the Canadian population and costs our health care system over $350,000,000 annually. Most current treatments require ongoing in-person support or have low adherence rates, enhancing greater strain on our healthcare system and economy. Non-invasive saphenous nerve stimulation (nSNS) overcomes these issues however there is currently no objective method […]

Green roofs minimize stormwater runoff, building cooling costs, and provide other social, economic, and environmental benefits. Green roofs are also highly-proprietary, with the industry having many components to suite different applications, all influencing green roof survival and performance. With a green roof by-law and construction standard in Toronto, green roof coverage is consistently among the […]

Vehicle scheduling is one of the main planning problems for transit agencies. While it is relatively simple to solve in the deterministic and single-depot setting, these assumptions are unrealistic in real-world applications. Specifically, ignoring major sources of uncertainty (such as travel times) and making decisions over average predictions can lead to inferior schedules that incur […]

Avasta Inc. is a consulting company currently providing measurement-based solution to improve the client acquisition and engagement of its clients. They use a unique methodology/algorithm to leverage unexploited data to improve their clients’ company performance. They have provided services for RBC, Brookfield, Walmart, P&G, etc. While they see a stable growth in traditional consulting services, […]

The proposed project will help develop an online forum that can be used as a public consultation tool for governments as they make important public policy decisions. This forum will be developed and tested in the City of Markham as a case study. The model will then be refined so that it can be applied […]

Triumvira a, Canadian US, post series A, biotech company, working on the development of a new targeted cancer therapies. The core technology is focused on the genetic engineering of immune cells isolated from patients. This process then enables these immune cells to recognise cancer cells that otherwise are invisible to the immune system. These therapies […]

Our research goals, which are a mix of theoretical and practical problems, are motivated by the practical near-term problem of delegating tasks to an untrusted remote quantum computer in a secure way. Toward this, we consider the notions of indistinguishability obfuscation for quantum circuits and quantum fully homomorphic encryption schemes. The former refers to algorithms […]

The main focus of this research is to develop representation learning architectures and algorithms that can help perform various multimodal understanding tasks, and at the same time reduce the need for human supervision in the form of costly annotations. To achieve this goal, a learning system must be able to: (1) learn new tasks or […]