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Dr. Daniel Gruber earned a Bachelor of Science at the University of California, Irvine, and was commissioned into the Air Force. After serving as an officer in an aircraft maintenance squadron at Offutt AFB, NE and simultaneously earning a Masters of Science degree he completed his medical degree at Creighton University in Omaha, Nebraska. He then finished OB/GYN residency at David Grant Medical Center at Travis AFB in Northern California.

Dr. Ivan Garibay earned his PhD degree at the Computer Science Department at the University of Central Florida, Orlando, where he is currently Director of Research Information Systems and Chief Information Officer at the Office of Research and Commercialization, Assistant Professor at the Institute for Simulation and Training, and Joint Faculty at the Department of Electrical Engineering and Computer Science. He received his MSc in Computer Science degree also from the University of Central Florida. He earned his BS degree in Electronic Engineering in 1994 from the Ricardo Palma University with the highest honors and ranked first in his class. He currently directs the UCF complex adaptive systems research group. Dr. Garibay has a multidisciplinary research agenda focused on novel biologically inspired models of computation that includes the fields of evolutionary computation, artificial life, artificial intelligence, machine learning, self-organization, and its application to economic and social phenomena with focus on economic impact of innovation ecosystems on regional economies.\nHe has received the Hillman Award for excellence in PhD research from the University of Central Florida in 2003. He has organized four international workshops as part of the GECCO conference: \"complexity through development and self-organizing representations\" (2006), and \"self-organization in representations for evolutionary algorithms\" (2005,2004).

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His main area of research is improving information systems for health and biomedical informatics. He has developed innovative prototypes that present new methodologies that can be used in the development of these information systems. Based on these prototypes, he has published articles that have been indexed in PubMed. Gurupur's articles have been published in the Journal of Medical Systems, Expert Systems with Applications, Advances in Engineering Software and IEEE Transactions on Learning Technologies.\n\nHe received his Ph.D. in computer engineering from the University of Alabama at Birmingham in 2010.

Haiyan Hu is an associate professor in the Department of Electrical Engineering and Computer Science. Her research focuses on bioinformatics, computational biology, data mining, machine learning and pattern recognition. One of her areas of expertise is combining data mining and developing computer algorithms to help biologists solve human health problems. She has more than $1 million in grant funding from the National Science Foundation and was awarded an NSF Career Award in 2012. She has published dozens of research papers applying informatics to health care questions.

Daoji Li is an Assistant Professor in the Department of Statistics at the University of Central Florida. He was a postdoctoral research associate in the Marshall School of Business at the University of Southern California from 2012 to 2015. His research interests include big data analytics, data mining, machine learning, precision medicine, high-dimensional data analysis, longitudinal data analysis, and survival analysis. He is also interested in developing statistical tools to solve practical problems. He was the winner of SAS 2017 Analytical Shootout Competition. He has received the UCF In-House grant in 2017 and the Overseas Research Scholarship from UK Secretary of State for Education and Sciencein 2006.

I am an assistant professor at Department of Electrical Engineering and Computer Science in University of Central Florida. I received Ph.D. at the Beckman Institute and the Department of Electrical and Computer Engineering in the University of Illinois at Urbana-Champaign. My current research interests include machine learning and data mining. In particular, I am interested in developing highly reliable knowledge and information acquisition, processing and analysis systems involving data sources of multiple modalities. Such systems are able to effectively aggregate and leverage knowledge in an open connected environment (e.g., social, sensor and mobile networks). My research seeks to develop computational model and theory for such general-purpose knowledge and information systems.

\tHe is currently the director of Big Data Computing Lab. His\tresearch interest is the design and analysis of big data systems. For\tthe aspect of design, he is currently working on optimizing\tperformance, scalability, and resilience of big data systems,\tespecially on Cloud, GPU, and multicore platforms. For the aspect of\tanalysis, he focuses on using program analysis to detect programming\terrors and performance defects in large-scale parallel computing\tsystems. He also works on distributed machine learning. He received an\tNSF CAREER Award in 2011, Castagne Faculty Fellowship (2013-2015), and\tOverseas Scholars Collaborative Research Award by Natural Science\tFoundation of China in 2014.

While at UTEP, she started out as a research assistant for Dr. Mahesh Narayan. After taking Second Semester General Chemistry with Dr. James Becvar, she became a CHEM 1305 peer leader and was offered a position as a Council Member of Chemistry Peer Leaders where she evaluates other peer leaders and updates the chemistry workbook every semester. Carolina presented interactive activities that enhance and facilitate chemistry learning at the American Chemical Society. She states that Dr. James Becvar really inspires her with the way he cares for all his peer leaders and the PLTL program. His passion for chemistry and his leadership mentoring motivate Carolina to pursue her future endeavors.

Ryan states that he is extremely grateful for his mentors at UTEP: Dr. James Becvar and Mahesh Narayan inspired him with their passion to help students develop a better understanding of the sciences. Dr. Chu Young Kim and Dr. James Salvador motivated him with their knowledge of biochemistry and organic chemistry. He says it is because of them that he became truly enthusiastic about learning.

While at UTEP she was a TA in the Department of Mathematics and tutored mathematics at EPCC and physics in the Miner Learning Center. She is a member of the Bhutanese Student Association at UTEP where students support one another and engage in civic projects.

CHEM 1305. She also had the opportunity to contribute to the General Chemistry workbook that is used by all students enrolled in the course and contributed to team learning activities that were designed and presented at the PLTL International Society.

Daniela is graduating with a master's degree in Biological Science and a 4.0 GPA. Her thesis involves the study of climate-induced changes in the alpine tundra in the Yukon Territory of northern Canada. Specifically, she examined how increasing shrub abundance in the tundra will affect soil properties and microbial activity. It is important to study changes in plant community composition as they can have cascading effects on how the tundra ecosystem functions, as well as feedback to climate change. To conduct her master's study, Daniela and her thesis advisor, Dr. Jennie McLaren, traveled to the Yukon Territory in Canada and spent several summer field seasons collecting data. She plans to pursue a doctoral in environmental science.

Alan has participated in many projects at his institutions. Alan became a recipient of the Summer Undergraduate Research Program Assistantship (SURPASS) at UTEP in the summer of 2016 under which he worked with Prof. Jorge Lopez in nuclear theory. He continued to work under the tutelage of J. Lopez until May 2017 before being awarded the MIT Summer Research Program (MSRP) fellowship to work at the MIT Center for Theoretical Physics with Prof. John W. Negele and Dr. Phiala Shanahan in applications of Machine Learning to physics. In the summer of 2018, Alan studied neutrino physics at Oak Ridge National Laboratory under the tutelage of Dr. Alfredo Galindo-Uribarri, a team leader of the PROSPECT experimental collaboration. In 2019, Alan joined the UTEP Electronic Structure Laboratory to study electronic properties of molecules under the supervision of Prof. Rajendra Zope with whom he is writing a senior honors thesis as member of the University Honors Program.

In addition to her exceptional academic achievement and her many civic volunteer activities, she has also worked with Insights El Paso as a facilitator for STEAM learning activities for their pop-up museum and found time to indulge in her hobbies of reading, dancing, and working out.

Elisabet hopes to inspire students to be open to learning the beautiful language of mathematics. She aims to incorporate her knowledge of computer science to provide anedge to her students. She plans to pursue graduate school and ultimately become a mathematics professor.

Kira was born in Helsinki, Finland and lived there all her life until she moved to El Paso, TX with her father to take the opportunity to widen her perspective of the world and experience a new culture. Growing up in Helsinki Kira played the piano and the flute for over ten years; mastering the flute she became a member of the nations oldest and largest music conservatories. While she is currently learning Spanish, Kira is fluent in Finnish, Swedish, French, and English. She credits this to the Finnish model of education that taught her to study effectively and use her creativity to approach problems in unique ways. As she began high school in Finland she interned at a private surgical unit and later was offered a paid position there. Her teachers and peers nominated her to receive an award and stipend for her natural talent in working with groups and maintaining team unity. She completed her last year of high school at Coronado High School after she moved to El Paso, TX.

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