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MD/PhD | 521 MCAT, JHU Eng | Expert MCAT & Data Science Tutor
Sophia D.

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About Sophia

Bio

I am an MD/PhD student at the University of Wisconsin-Madison pursuing a PhD in Biomedical Data Science. I earned bachelor's degrees in Biomedical Engineering and Applied Mathematics & Statistics and a master's degree in Biomedical Engineering from Johns Hopkins University. My engineering training included mechanics, electricity and magnetism, thermodynamics, fluid mechanics, mathematics, and quantitative modeling. I scored a 521 on the MCAT and have completed both the premedical science...

I am an MD/PhD student at the University of Wisconsin-Madison pursuing a PhD in Biomedical Data Science. I earned bachelor's degrees in Biomedical Engineering and Applied Mathematics & Statistics and a master's degree in Biomedical Engineering from Johns Hopkins University. My engineering training included mechanics, electricity and magnetism, thermodynamics, fluid mechanics, mathematics, and quantitative modeling. I scored a 521 on the MCAT and have completed both the premedical science curriculum and medical school coursework. I have tutored the MCAT for two years and worked with over 20 students, all of whom scored above 510, with most scoring 515+ and several 520+. I particularly enjoy working with neurodivergent students and adapting instruction to students who may not thrive with traditional teaching approaches.

My data science and AI expertise comes from graduate training, research, and professional experience. Before my MD/PhD, I worked as a data scientist and in medical-device R&D, applying programming, statistics, machine learning, and computational methods to real-world problems. My current PhD research focuses on biomedical AI, including deep learning, large language models, medical imaging, and multimodal clinical data. I regularly use Python, PyTorch, statistical modeling, and machine learning and have completed graduate coursework in machine learning, foundation models, LLMs, and Bayesian statistics.

I have extensive one-on-one tutoring experience with high school, undergraduate, graduate, and premedical students in MCAT preparation, physics, mathematics, statistics, programming, and data science. My approach emphasizes conceptual understanding, breaking complex problems into manageable steps, and identifying the reasoning or knowledge gaps behind errors. For MCAT students, I integrate content review with passage analysis, test-taking strategy, error analysis, and individualized study planning.

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Education

Johns Hopkins University
Biomedical Eng, Math
Johns Hopkins University
Masters
University of Wisconsin
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Approved Subjects

Calculus

Calculus

I earned a bachelor's degree in Applied Mathematics & Statistics from Johns Hopkins University alongside my degree in Biomedical Engineering, followed by a master's degree in Biomedical Engineering. My coursework extended well beyond the standard calculus sequence into differential equations, linear algebra, real analysis, probability, statistics, and advanced quantitative engineering, and I continue to use calculus extensively in my current Biomedical Data Science PhD work. I have experience tutoring calculus one-on-one at the high school, AP Calculus AB/BC, and college levels, including students in Calculus I, II, and III. My teaching emphasizes building an intuitive understanding of derivatives, integrals, limits, series, and multivariable concepts so students understand why methods work and can confidently apply them to unfamiliar problems rather than relying on memorized procedures.
Data Science

Data Science

I am pursuing a PhD in Biomedical Data Science at the University of Wisconsin-Madison and previously worked professionally as a data scientist and in medical-device R&D. I have extensive experience with Python, pandas, NumPy, PyTorch, statistical modeling, machine learning, data visualization, and analysis of real-world datasets, supported by graduate training in machine learning, Bayesian statistics, foundation models, and AI. My current research applies data science and machine learning to complex clinical data, including medical imaging, clinical text, and structured health data. I tutor students from introductory programming and statistics through advanced data science and machine learning, focusing on building both conceptual understanding and the practical skills needed to independently solve problems and work with data.
Machine Learning/ AI

Machine Learning/ AI

I am a Biomedical Data Science PhD student at the University of Wisconsin-Madison conducting research in artificial intelligence and machine learning, with eight publications involving applications of AI. Before beginning my PhD, I spent four years conducting academic AI research at Johns Hopkins University, in addition to professional experience as a data scientist and in medical-device R&D applying machine learning to real-world problems. My expertise spans deep learning, computer vision, large language models, multimodal AI, medical imaging, model evaluation, Python, and PyTorch, supported by graduate coursework in machine learning, foundation models, LLMs, and Bayesian statistics. I tutor students from foundational machine learning through advanced AI, emphasizing both the mathematical intuition behind algorithms and the practical skills needed to implement, evaluate, and troubleshoot models independently.
MCAT

MCAT

I scored a 521 on the MCAT and am currently an MD/PhD student at the University of Wisconsin-Madison, with two years of experience providing individualized MCAT tutoring to more than 20 students. All of my students have scored above 510, with most earning 515+ scores and multiple students scoring 520+. My approach goes beyond content review by identifying each student's specific bottlenecks through error analysis, passage reasoning, timing, test-taking strategy, and targeted content remediation. I tailor my teaching and study plans to each student, with particular experience helping students overcome score plateaus and adapting strategies for neurodivergent learners.
Physics

Physics

I earned the highest possible score of 7 in IB Higher Level Physics before going on to earn bachelor's and master's degrees in Biomedical Engineering from Johns Hopkins University. My university training included extensive calculus-based physics and engineering coursework in mechanics, electricity and magnetism, thermodynamics, fluid mechanics, and quantitative modeling, and I continued applying these concepts throughout my engineering education and research. I have experience tutoring physics one-on-one at the high school, AP/IB, college, and MCAT levels, with an emphasis on building conceptual understanding rather than simply memorizing equations. I help students learn to translate physical situations into diagrams and mathematical relationships, reason through unfamiliar problems, and develop systematic problem-solving strategies they can apply independently.
Thermodynamics

Thermodynamics

I earned bachelor's and master's degrees in Biomedical Engineering from Johns Hopkins University, where my training included advanced coursework applying thermodynamics, fluid mechanics, physics, mathematics, and quantitative engineering principles. My engineering background required me to use concepts including the laws of thermodynamics, energy and heat transfer, work, entropy, state variables, fluid behavior, and the relationships among pressure, volume, and temperature in complex quantitative problems. I have extensive one-on-one STEM tutoring experience with high school, undergraduate, graduate, and premedical students and am comfortable helping students with both conceptual and calculation-based thermodynamics. My teaching emphasizes understanding the physical meaning behind equations, setting up systems and energy balances correctly, tracking units and signs, and developing a systematic approach to unfamiliar problems rather than relying on memorized formulas.
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Hourly Rate: $120
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