Thank you, Dennis. Good morning everyone. I’m glad that you are able to join us today. We’re excited to share with you IPA’s second quarter updates and our progress toward achieving our strategic goals for the fiscal year, including the steady growth of our revenue driven by our expanding client relations team, as well as milestone achievements with our in silico platforms from our newest subsidiary, BioStrand. With several goals in mind, the company recently announced its voluntary delisting from the TSX Venture. These goals include creating a central market for its common shares on the NASDAQ, enhancing long-term liquidity and shareholder value, lowering administrative and legal costs, saving time, and harmonizing reporting requirements. Finally, we believe that de-listing from this exchange makes it easier to reach institutional investors who are prohibited by compliance from investing in such exchanges. IPA is considering a shift in its corporate offices as a compliment to its recent delisting from the TSX Venture. While the exact potential location has not yet been selected for shareholder approval at a future special meeting of shareholders, some of the key location characteristics being considered include a U.S. location with access to high-performing workforce with relatively low average wages, a region with expanding technology-based businesses that is complimented by numerous business incentives and easy access to government officials, highly competitive cost of business operations, and a highly educated workforce. This quarter, we look forward to keeping you informed of any developments relating to this particular update. As we approach the end of this calendar year we are focusing on accelerated revenue growth and sales integration of our in silico capabilities. This year we are also reflecting on market conditions and our historical performance as we strive to maximize shareholder value in 2023. This graph compares IPA's year-to-date share price change to that of independently selected competitors as reported by NASDAQ with these figures as of Tuesday, December 13. While we have maintained shareholder value in a difficult market, especially as compared to our peers, we are far from satisfied. With regard to shareholder value and corporate growth we have set immense goals and we are committed to working tirelessly until those are executed. We are not intimidated by the current market conditions, but rather energized and inspired by the opportunity to significantly outperform them. Elaborating on our most recent press release, the emergence of Meta's ESM Fold 2 and DeepMind's AlphaFold AI-driven predictive platform recently opened the door to the world of structures and their impact on drug discovery. Irrespective of their precision, these platforms provided us with a novel visual representation of sequences and their uniqueness. Having fully integrated these two platforms into our end-to-end in silico discovery workflow, we have saved an appreciable amount of development time and cost. The timing of these platforms was fortuitous, having recently launched our structural HYFTs, which will help explore formal and explicit biologically relevant and hidden knowledge drawing upon our HYFT technology, which cannot not only connect sequence to structure and function, but also link those sequences to structure and structure to many types of textual information such as scientific papers and also medical records. These multi-omic, multi structural capabilities are unparalleled and have the potential to greatly speed up drugs discovery. From a commercial perspective, we started integrating BioStrand’s cutting-edge AI technology into our global fee-for-service offerings this quarter, creating unique in silico capabilities to expand our platforms for next-generation antibody discovery and development. These in silico services show quick turnaround times that result in faster revenue recognition, excellent profit margins, and a competitive edge, thanks to our unmatched data outputs. One of the examples in the new in silico offerings is the recent client access to our in silico immunogenicity screening service, which enables clients to quickly and affordably predict which lead candidates may be immunogenic when administered to patients. It offers insights into which patients, specifically based on their genetic background, are most likely to experience an adverse event and determine which lead candidates are most likely to be safe in the majority of the population. In order to prevent unfavorable side effects this information may also help drug sponsors decide which patient population should be selected in a clinical or commercial context for a particular therapy. This and other new AI services have not only been launched, but have also been chosen by select clients as extensions to their current programs and will soon be available for all to view on our updated website. With that, I will turn the call over to our Vice President of Client Relations, Dr. Barry Duplantis.