Dr. prof. Thais Gaudêncio of UFPB and ARIA lab

This talk will explore how Artificial Intelligence is revolutionizing Computational Biology, driving scientific discovery and innovation in healthcare. This session is ideal for those interested in understanding how the fusion of biology and artificial intelligence is shaping the future of science and medicine.

Biography:

Graduated in Biological Sciences from the Federal University of Paraíba (2003) and master's degree in Computational Modeling with Emphasis in Bioinformatics and Computational Biology - National Laboratory of Scientific Computing (2008) and PhD in Computer Science from the Computer Science Center of the Federal University of Pernambuco (2012). She is currently an associate professor at the Federal University of Paraíba. She has experience in the area of ​​Bioinformatics, Artificial Intelligence and its applications. Researcher at the Laboratory of Applications in Artificial Intelligence (ARIA).

Vinicius Lisboa of Microsoft

In this talk, a Machine Learning expert with extensive experience in banking and currently working at Microsoft on Data and Artificial Intelligence projects, will share his professional trajectory and insights into the career of a Machine Learning Engineer. The talk will address the crucial role of this role in the development of AI solutions, as well as the challenges and opportunities of the sector, with a focus on applications.

Biography:

With a bachelor's degree in Electrical and Electronic Engineering from the Federal University of Paraíba - UFPB (2021), Vinícius Lisboa is a reference in technological innovation and works as a Data & AI consultant at Microsoft. With a solid professional trajectory, Vinícius also stood out for his work at Santander Brasil, where he was responsible for the creation and leadership of the Center of Excellence in Data and Machine Learning, successfully conducting complex migrations of data and models to the cloud.

Address:São Paulo, Brazil

Tainá Coimbra of Dataprev

In this talk, we will explore the practical application of artificial intelligence in the public sector, with insights from experts on how technology is transforming the government sector. One of the success stories highlighted will be the project developed by Dataprev in partnership with the Ministry of Labor, which used artificial intelligence to improve the National Employment System (SINE) and the hiring process.

Using machine learning algorithms, Dataprev implemented a system that analyzes candidate profile data and available vacancies, facilitating the efficient matching of job offers with qualified workers. This initiative not only accelerated the job placement process, but also expanded access to opportunities, positively impacting the lives of thousands of Brazilians.

Biography:

Master in Data Science from Unicamp. Currently works as a Data Scientist at Dataprev, one of the largest public companies in Brazil in digital solutions for government and citizens.

Thiago Medeiros of Dataprev

We will explore the practical application of artificial intelligence in the public sector, with insights from experts on how technology is transforming the government sector. One of the success stories highlighted will be the project developed by Dataprev in partnership with the Ministry of Labor, which used artificial intelligence to improve the National Employment System (SINE) and the hiring process.

Using machine learning algorithms, Dataprev implemented a system that analyzes candidate profile data and available vacancies, facilitating the efficient matching of job offers with qualified workers. This initiative not only accelerated the job placement process, but also expanded access to opportunities, positively impacting the lives of thousands of Brazilians.

Biography:

Bachelor of Computer Science from the Federal University of Paraíba - UFPB (2009) and Master of Software Engineering from the Federal University of Pernambuco - UFPE (2011), with specialization in Machine Learning and Business Intelligence. Thiago Medeiros leads the Data Science team at Dataprev, a company linked to the Ministry of Management and Innovation in Public Services and was responsible for the development of an innovative Artificial Intelligence solution launched by Dataprev for the Ministry of Labor, consolidating itself as a reference in data and process automation.

Rafael Galvão of Microsoft Learn Student Ambassador program

In this unmissable talk, the Microsoft Learn Ambassador will present the vast potential of Artificial Intelligence with the support of Microsoft's Azure platform. The main tools and services available in Azure for the development of AI solutions, including machine learning, data analysis, and more, will be covered.

Biography:

Rafael Galvão Lopes de Mendonça is a Software Engineer at SMN Tecnologia da Informação, a Microsoft Learn Student Ambassador and a postgraduate student in Artificial Intelligence with an emphasis on Machine Learning. With solid experience in Artificial Intelligence, Rafael stands out in the application of Machine Learning and the use of the Azure platform, using these technologies to develop solutions in sectors such as construction and fintech. His expertise and commitment to innovation make him a reference in solving complex challenges and optimizing business processes.

Smith Lima of Young Professional of the Northeast Brazil Section

IEEE Young Professionals is an international community of enthusiastic, dynamic, and innovative members and volunteers. IEEE is committed to helping young professionals evaluate their career goals, polish their professional image, and create the building blocks of a diverse and lasting professional network.

Membership in IEEE Young Professionals is open to graduate students and upper-level members with early career interests at no additional cost.

Biography:

He was part of the Student Activities Committee of the Northeast Section as a representative of the student chapters (2018-2019). Since 2017, he has participated in the activities of the YP group of the Northeast Brazil Section, was Secretary in 2020, president in 2021 and 2023, and current treasurer of the YP of the Northeast Brazil Section.

Dr. Natasha Correia of Federal University of Paraiba

Join Professor Natasha, a PhD in Computer Science from the University of Edinburgh and a faculty member at the Federal University of Paraíba, as she explores the transformative role of artificial intelligence in scientific advancement. Discover how AI is reshaping research methodologies and driving innovation across various disciplines.

Biography:

Natasha Correia Queiroz Lino has a degree in Computer Science from the Federal University of Campina Grande - UFCG (1998), a master's degree in Computer Science from the Federal University of Pernambuco - UFPE (2000), and a Ph.D. in Computer Science from the University of Edinburgh/UK (2007). She completed her postdoctoral studies at the University of Edinburgh/UK (2013-2014). She is a professor at Federal University of Paraiba - UFPB, accredited in the Postgraduate Program in Computer Science (PPGI) of UFPB. She is the founder and coordinator of the Laboratory of Applied Artificial Intelligence (LIAA) UFPB.

Victória Grisi of Oracle

The "Mentoring for Your AI Career" session led by Victória Grisi focuses on providing guidance and support for individuals interested in pursuing a career in artificial intelligence. Here’s what you can expect:

1. Personal Journey: Victória will share her experiences as a Computer Science student and her involvement in the AI League, highlighting how these opportunities shaped her career path.

2. Industry Insights: She will discuss current trends in the AI field, the skills that are in demand, and what employers are looking for in candidates.

3. Mentorship Opportunities: Victória will outline the importance of mentorship in professional growth, sharing how to find and engage with mentors who can guide you through your career journey.

4. Practical Tips: Attendees will receive actionable advice on building a strong resume, networking effectively, and gaining relevant experience through internships or research projects.

5. Q&A Session: There will likely be an opportunity for attendees to ask questions, allowing for personalized advice and deeper insights into specific concerns regarding their AI careers.

Biography:

A Computer Science student at UFPB, she has actively worked on the academic board of the AI ​​league, of which she is still a member. She is currently a researcher at the ARIA laboratory and an intern at the multinational Oracle.

Elayni Franco of Localiza

Navigating Your Future in AI: Mentorship and Career Development is an engaging session designed to provide participants with essential guidance for forging a successful career in artificial intelligence. Here’s a deeper look at what the session may cover:

Key Components:

1. Introduction to AI Careers:

   • Elayni Franco will provide an overview of various career paths within the AI field, highlighting roles such as data scientist, machine learning engineer, AI researcher, and more.

2. Importance of Mentorship:

   • Discussion on how mentorship can influence career trajectories. Elayni will share her personal experiences with mentors and how these relationships have shaped her professional development.

3. Skill Development:

   • An overview of critical skills needed in AI, including programming languages (like Python), data manipulation, machine learning techniques, and familiarity with tools such as TensorFlow or PyTorch.

4. Industry Trends:

   • Insights into current trends in AI and data science, such as advancements in deep learning, ethical AI considerations, and emerging technologies that are shaping the future of the field.

5. Networking Strategies:

   • Tips on how to build a professional network, including attending conferences, joining relevant online communities, and leveraging platforms like LinkedIn.

6. Practical Experience:

   • Advice on how to gain hands-on experience through internships, research projects, and personal projects. Elayni might share resources for finding opportunities in the field.

7. Q&A Session:

   • An interactive segment where attendees can ask questions about their specific career concerns, seeking personalized advice and insights from Elayni.

Biography:

Data Scientist and undergraduate student in Data Science and Artificial Intelligence at UFPB, currently working at Localiza. With experience in remote sensing, OCR, machine learning, and deep learning, Elayni will share her insights on building a successful career in AI.