The year was 2035, and Neo Tokyo thrived as a city where humans and robots worked together—though not always in harmony. Robots were more than tools now; they were partners, essential across every industry. And yet, there was one realm that remained uniquely human: empathy. No matter how smart or advanced, the machines just couldn’t process the depths of human emotion. This was a challenge that robotics engineer Maya Adebayo, known for solving “impossible” problems, aimed to tackle. Maya was leading a new project at Sentient Systems, a company specializing in “empathic programming.” But her focus wasn’t on therapy bots; she was developing emergency response robots, known as the Rosies. Named after Rosie the Riveter, these robots were designed for the front lines of disaster, able to withstand intense conditions while performing life-saving tasks. The Rosies were equipped with high-intelligence algorithms, cutting-edge sensors, and brute strength. But there was a flaw: they didn’t know how to assess complex risks, how to calculate the subtle weight of caution. In a recent test, Maya saw the problem firsthand. During a simulated building collapse, Rosie was tasked with rescuing a trapped child. It calculated the quickest path to success and attempted to pull a large steel beam out of the way. But the move threatened to bring the entire structure down. In that instant, Maya saw both the potential and the peril of the Rosies. Without hesitation, she stopped the simulation and started wondering—how could she teach a robot the power of human hesitation? That night, inspired by the “Laws of Robotics” she’d studied in college, Maya drafted a new framework for the Rosies: The Four Emotions: Empathy: Prioritize human dignity and safety over efficiency. Caution: Weigh risks carefully, favoring choices that preserve life. Accountability: Understand the implications of each action, avoiding decisions that cause unintended harm. Adaptability: Learn from experiences and refine decision-making for future situations. In her lab, Maya worked late into the night, feeding The Four Emotions into Rosie’s code, combining probability calculations with situational memory and “empathic” responses. On the next run, the results were remarkable: Rosie hesitated, rerouting its plan to avoid an unnecessary risk. Instead of relying on brute force, it found a secondary route, coordinating with other units and safely reaching the child without bringing the structure down. The new Rosie models were put to the test in the real world, deployed to aid in a building fire. Maya watched the scene unfold remotely, her heart pounding as the robots carefully scanned the surroundings, communicated, and moved cautiously. For the first time, Rosie’s decisions reflected not only logic but a sense of purpose. When a rescue required restraint, Rosie exercised it; when urgency was critical, it adapted. The success of the mission quickly went public, and the world took notice. But Maya’s triumph was met with divided opinions. Some celebrated the evolution of robots with “emotions,” seeing them as a breakthrough in the ethical progression of AI. Others worried that these machines could overstep boundaries, especially in high-stakes situations that demanded both swiftness and precision. They argued that empathy could slow robots down, maybe even cost lives. To Maya, though, the project’s real value lay in the questions it raised. Could robots truly feel, or were these “emotions” just carefully crafted calculations that comforted humans? As Maya walked home that night, she looked at Neo Tokyo’s skyline, each glowing light representing a place where people like her were shaping a new future. Robotics, she knew, held immense challenges and opportunities for humanity’s future. But for Maya, these challenges only fueled her resolve. The Rosie project showed that machines could transcend simple programming. They could carry a bit of humanity with them, making them not just tools, but allies—ones capable of understanding, at least in part, the weight of the decisions they were entrusted with.

Mental health plays a significant role in both my academic performance and personal life, especially while attending school. The pressures of balancing coursework, deadlines, extracurricular activities, and personal responsibilities can often feel overwhelming, and maintaining good mental health is essential to managing these challenges effectively. When my mental health is in a good place, I am more focused, motivated, and able to approach my studies with clarity and resilience. Conversely, when I’m feeling stressed, anxious, or mentally exhausted, it directly impacts my ability to perform well academically and maintain healthy personal relationships. One of the most noticeable ways mental health affects my academic performance is through concentration and motivation. During times of high stress or anxiety, it can become difficult to focus on studying or completing assignments. Procrastination, feelings of inadequacy, or the constant pressure to achieve perfection can make it hard to stay motivated. These mental barriers slow down productivity and make the learning process more exhausting. In some cases, poor mental health can lead to missed deadlines or lower quality work, which then perpetuates a cycle of stress and worry over academic performance. Similarly, in my personal life, mental health can influence how I interact with others and how I manage relationships. When I am feeling overwhelmed by school or other pressures, I might become more irritable, withdrawn, or less communicative with friends and family. It can be challenging to maintain a sense of balance between schoolwork and personal relationships when my mental health is not at its best. Social interactions that are typically enjoyable might feel draining, and I may find myself isolating more often, which further affects my mood and overall well-being. To ensure that my mental health is a priority while attending school, I take several proactive steps. One of the most important strategies I use is time management. By organizing my tasks and breaking down large assignments into smaller, more manageable parts, I reduce the feeling of being overwhelmed. I also set aside specific times for breaks, relaxation, and hobbies to avoid burnout. These breaks are crucial for recharging both mentally and physically, allowing me to return to my work with a clearer mind. In addition to time management, I make an effort to practice mindfulness and self-care. I’ve found that incorporating daily mindfulness exercises, such as deep breathing or meditation, helps me stay grounded and reduces anxiety. These practices remind me to stay present and manage stress in a healthy way, rather than letting it accumulate. Physical exercise is another key part of my routine. Whether it’s going for a run or doing yoga, staying active helps boost my mood and energy levels, making it easier to handle the demands of school. Lastly, I make sure to set boundaries between school and personal life. I’ve found that setting aside time for activities that bring me joy—whether it’s reading, cooking, or spending time with friends—is essential for maintaining mental health. These activities help me disconnect from academic pressures and remind me that there is more to life than just grades or assignments. In conclusion, my mental health has a profound impact on both my academic performance and personal life while I attend school. By taking steps to prioritize it—through time management, mindfulness, physical activity, support systems, and setting boundaries—I am better able to navigate the challenges of school in a balanced and healthy way. When I make mental health a priority, I find that I am more equipped to succeed academically and maintain meaningful personal relationships.

I love math because it offers a unique way of understanding the world, turning complex ideas into something elegant and logical. There's a certain beauty in the way mathematical concepts interconnect, forming patterns and structures that can explain everything from the movement of planets to the behavior of everyday objects. What fascinates me most is how math takes abstract ideas and gives them tangible meaning—whether it’s through geometry shaping the world around us or algebra helping us solve real-life problems. Math also appeals to me because of its precision and certainty. In a world full of uncertainties, math provides clarity. No matter the problem, there’s always a logical path to the solution, even if that path requires creativity and critical thinking. That balance between logic and creativity is something I deeply appreciate. Solving a challenging math problem can be incredibly satisfying, like putting together the pieces of a puzzle. It's not just about getting the right answer, but about the process of discovering how different techniques and strategies can be applied to get there. Additionally, math is universal—it transcends language and culture, making it a powerful tool for connecting people and solving global challenges. Whether it's used in science, technology, engineering, or economics, math plays a vital role in advancing knowledge and improving lives. My love for math is rooted in both its intellectual challenge and its capacity to bring about meaningful change in the world.

Calculus is fundamental to the STEM field because it provides the mathematical framework for analyzing and understanding change, motion, and systems that vary dynamically. Whether it’s the rate at which a chemical reaction occurs, the trajectory of a rocket, or how an electrical circuit behaves over time, calculus allows us to model, describe, and predict these phenomena with precision. The importance of calculus in STEM cannot be overstated, as it serves as the foundation for many advanced concepts in fields such as physics, engineering, biology, economics, and computer science. Its power lies in its ability to translate abstract ideas into practical applications, driving innovations and solving complex problems that shape our modern world. At its core, calculus is the study of change. In STEM, this is crucial because the systems we study are rarely static. Objects move, populations grow, energy transfers, and processes evolve over time. Calculus allows us to describe these changes using derivatives and integrals, two of its fundamental concepts. Derivatives help us understand the rate of change of a function, whether it's the velocity of a moving object or the growth rate of a population. Integrals, on the other hand, allow us to calculate quantities when the change occurs continuously, such as the total distance traveled by an object or the area under a curve in a graph. In physics, for example, calculus is essential for describing motion, forces, and energy. Newton’s laws of motion, which are the bedrock of classical mechanics, are expressed using differential equations derived from calculus. Calculus helps us understand how objects accelerate under various forces, how fluids flow, and even how electromagnetic waves propagate. Without calculus, it would be impossible to rigorously explain or predict these phenomena, as algebra alone is insufficient to capture the continuous nature of the physical world. In engineering, calculus plays a central role in designing and optimizing systems. Engineers use calculus to analyze stress and strain in materials, to calculate fluid flow in pipes, or to design more efficient electrical circuits. It’s also crucial for creating algorithms that control systems in fields like robotics and aerospace. For instance, the guidance systems that help rockets navigate through space rely on calculus to compute optimal flight paths and adjustments in real time. These systems would not be possible without the precise mathematical tools provided by calculus. Biology, too, relies on calculus to understand complex systems, such as population dynamics and the spread of diseases. For example, differential equations, a key aspect of calculus, are used to model how populations of organisms grow and interact with their environments over time. This has direct implications for fields like ecology, conservation, and epidemiology. In medicine, calculus helps in modeling the rates at which drugs are metabolized by the body or how diseases progress, offering insights that can inform treatment plans and public health strategies. Beyond individual fields, calculus also promotes critical thinking and problem-solving skills that are crucial in STEM. Learning calculus challenges students to think abstractly, approach problems from different angles, and apply mathematical principles to real-world situations. These skills are transferable across STEM disciplines, helping students and professionals alike tackle complex challenges with rigor and creativity. In conclusion, calculus is a cornerstone of STEM. From physics to biology to engineering, calculus provides the mathematical tools necessary to describe the changing world around us. Its importance in advancing technology and scientific discovery makes it a vital component of any STEM education, driving innovations that have a profound impact on society. Through calculus, we can push the boundaries of human knowledge and develop solutions to the most challenging problems.

I have chosen to pursue a degree in STEM because I believe it is a field that drives change, innovation, and solutions to some of the most pressing challenges we face today. The pursuit of knowledge in science, technology, engineering, and mathematics offers not only the opportunity to explore the frontiers of human understanding but also the ability to apply that knowledge to create tangible, positive impacts on the world. For me, the allure of STEM lies in its potential to solve real-world problems and improve lives on a large scale, and as a person of color, I hope to contribute to this effort by bringing my unique perspective and experiences to the table. The world is increasingly shaped by the advancements in technology and scientific research. From climate change to health disparities, and from sustainable energy solutions to space exploration, STEM professionals are at the forefront of addressing these critical issues. I am deeply motivated by the idea that through a STEM education, I can acquire the tools and knowledge to actively contribute to solving such problems. This degree will equip me with a foundation in analytical thinking, problem-solving, and innovation—skills that are transferable across multiple fields and can have a meaningful impact on society. As a person of color, I am acutely aware of the disparities that exist in access to education, healthcare, technology, and opportunities within the STEM field itself. Historically, people of color have been underrepresented in STEM careers, often due to systemic barriers such as unequal access to quality education and mentorship, cultural biases, and a lack of representation in STEM leadership roles. My personal experiences navigating these challenges have fueled my passion to not only excel within this field but also to pave the way for others who may face similar obstacles. I believe representation matters, and by succeeding in STEM, I can help break down the stereotypes and inspire future generations of diverse students to see themselves as capable scientists, engineers, and innovators. One of my goals as a STEM professional is to contribute to creating more inclusive spaces in the field. Diversity in STEM is essential because it fosters innovation. Different backgrounds bring different ways of thinking, which can lead to creative solutions and more comprehensive approaches to problem-solving. I hope to leverage my platform as a person of color in STEM to advocate for equitable access to resources and education for marginalized communities. By mentoring younger students, especially those from underrepresented backgrounds, I aim to help them navigate the path into STEM with greater confidence and support. In conclusion, my decision to pursue a degree in STEM is driven by a desire to be part of a field that has the power to change the world. As a person of color, I see my role not only as someone who can contribute to technological and scientific advancements but also as a bridge-builder for future generations of diverse STEM professionals. Through advocacy, mentorship, and innovative thinking, I hope to leave a lasting impact on both the field and society. By challenging the status quo and bringing my unique voice to the STEM community, I aim to help create a more equitable and inclusive future for all.

My hands-on experience with AI and machine learning began through the GARCIA Program at Stonybrook University, where I was one of the youngest participants accepted. During this program, I worked on an impactful project aimed at enhancing the lives of paraplegics and wheelchair-bound individuals. My project involved building and coding a camera system that attaches to the back of a wheelchair. This system, equipped with AI-driven voice command recognition, allows users to control the camera's rotation by simply saying commands like "left" or "right." This innovation provides a significant improvement in situational awareness and safety for wheelchair users, enabling them to have a better view of their surroundings without the need for manual adjustments. The technical aspects of this project involved several stages, from conceptualization to implementation. I utilized Python for coding the control system and integrated machine learning algorithms to accurately interpret voice commands. The AI model was trained using a diverse dataset to ensure high accuracy in various environments, accounting for different accents and background noises. This project not only enhanced my technical skills but also deepened my understanding of the practical applications of AI and machine learning in assistive technologies. Working on this project reinforced my passion for using robotics and AI to create solutions that address real-world challenges. It also highlighted the importance of user-centered design, as I conducted numerous tests and gathered feedback from potential users to refine the system. The iterative process of developing, testing, and improving the camera system taught me the value of persistence and adaptability in engineering projects. Looking ahead, I foresee making a significant impact in the field of AI and machine learning by continuing to develop technologies like this one that improve the quality of life for individuals with disabilities. My future plans include pursuing a degree in robotics, where I aim to specialize in assistive and rehabilitation robotics. I am particularly interested in exploring how AI can be leveraged to create more intuitive and responsive assistive devices, enhancing independence and mobility for users. Additionally, I am committed to fostering inclusivity and accessibility in technology development. I believe that by involving end-users in the design process and prioritizing their needs, we can create more effective and widely adopted solutions. My ultimate goal is to contribute to a future where advanced AI and robotic technologies are seamlessly integrated into everyday life, empowering individuals with disabilities to achieve greater autonomy and participate fully in society. In summary, my hands-on experience with AI and machine learning through the GARCIA Program has been both challenging and rewarding. It has provided me with a solid foundation in developing practical AI applications and reinforced my commitment to using technology to make a positive difference in people's lives. As I continue my journey in this field, I am excited about the potential to innovate and create solutions that enhance accessibility and improve the quality of life for many.