SHBL

Looking at PhD programs for ML for Fall 2020. Please take a look and give me feedback! Undergrad Institutions: School 1. small university in South Korea (dropped out after first semester) School 2. another small university in South Korea (dropped out after one year) School 3. Californian community college School 4. UCSB (Transfer) Undergrad Major: Statistics and Data Science Cumulative GPA: School 1: 0.0 / 4.3 School 2: 2.3 / 4.3 School 3: 4.0 / 4.0 School 4: 3.51 / 4.0 (Major GPA: 3.68) Type of Student: International Asian Male Relevant Courses(Undergrad): Lower Div: Calculus 1, 2, 3 (A+), Linear Algebra (A+), Differential Equations (A), Intro to Proofs (A+) Intro to computer science (A+), Computer Science Theory and Practice 1,2 (A+), Object Oriented Programming in C++(A), Programming for Engineers in Matlab(A+) Elementary Statistics (A), Data Science Principles (A) Upper Div: Probability and Statistics I (A+), Probability and Statistics II (B+), Stochastic Processes I (A-), Stochastic Processes II (B+), Hypothesis Tests (B+), Regression Analysis (A-), Stats Machine Learning (B), Advanced Hypothesis Tests (A-), Stats Data Science (B+), Design of Experiments (A), Time Series Analysis (A-) Data Structures and Algorithms (B-) Linear Algebra (B+), Advanced Linear Algebra (B+), Intro to Real Analysis (A-), Graph Theory (P) GRE General Test: Q: 161V: 156W: 4.0 Research Experience: - One year of undergraduate research student in a computer science research lab. (Worked in Deep Learning, Human Computer Interaction, and Data visualization, analysis) No publications. - One year of statistics research with a PhD student in Reinforcement Learning and financial modeling. No publications either. Work Experience: - One summer internship in image recognition, deep learning, and computer vision. - One year of senior software engineer at an early stage school startup. Publications: 7 co-authored math reference books for Korean high school students. (South Korea) 3 published journals to an unknown magazine in Korea.(South Korea) Teaching Experience: Tutored at a city college for 2 years. Coding Experience: Proficient in Python, C++, Java, Matlab. Comfortable with Linux environment, and Git. Letters of Recommendation: Two from professors I took class with(one math one stats). One from co-worker/mentor (retired mathematician from U of Mich who knows me VERY WELL) Research Interests: 3D reconstruction with point clouds, AR, CV for Autonomous Driving. Programs, Schools Applying: CS PhD University of Minnesota - Twin Cities (Top Choice) University of Wisconsin - Madison University of Utah University of Colorado Boulder UCI Virginia Tech UIC Duke UMASS Amherst TTIC (Am I aiming too high?) Please give me feedback!

Looking at PhD programs for Statistics for Fall 2020. Please take a look and give me feedback! Undergrad Institutions: School 1. small university in South Korea (dropped out after first semester) School 2. another small university in South Korea (dropped out after one year) School 3. Californian community college School 4. UCSB (Transfer) Undergrad Major: Statistics and Data Science Cumulative GPA: School 1: 0.0 / 4.3 School 2: 2.3 / 4.3 School 3: 4.0 / 4.0 School 4: 3.51 / 4.0 (Major GPA: 3.68) Type of Student: International Asian Male Relevant Courses(Undergrad): Lower Div: Calculus 1, 2, 3 (A+), Linear Algebra (A+), Differential Equations (A), Intro to Proofs (A+) Intro to computer science (A+), Computer Science Theory and Practice 1,2 (A+), Object Oriented Programming in C++(A), Programming for Engineers in Matlab(A+) Elementary Statistics (A), Data Science Principles (A) Upper Div: Probability and Statistics I (A+), Probability and Statistics II (B+), Stochastic Processes I (A-), Stochastic Processes II (B+), Hypothesis Tests (B+), Regression Analysis (A-), Stats Machine Learning (B), Advanced Hypothesis Tests (A-), Stats Data Science (B+), Design of Experiments (A), Time Series Analysis (A-) Data Structures and Algorithms (B-) Linear Algebra (B+), Advanced Linear Algebra (B+), Intro to Real Analysis (A-), Graph Theory (P) GRE General Test: Q: 161V: 156W: 4.0 GRE Subject Test in Mathematics:M: N/A Research Experience: - One year of undergraduate research student in a computer science research lab. (Worked in Deep Learning, Human Computer Interaction, and Data visualization, analysis) No publications. - One year of statistics research with a PhD student in Reinforcement Learning and financial modeling. No publications either. Work Experience: - One summer internship in image recognition, deep learning, and computer vision. - One year of senior software engineer at an early stage school startup. Publications: 7 co-authored math reference books for Korean high school students. (South Korea) 3 published journals to an unknown magazine in Korea.(South Korea) Teaching Experience: Tutored at a city college for 2 years. Coding Experience: Proficient in R, Python, C++, Java, Matlab. Comfortable with Linux environment, and Git. Letters of Recommendation: Two from professors I took class with(one math one stats). One from co-worker/mentor (retired mathematician from U of Mich who knows me VERY WELL) Research Interests: Reinforcement Learning, Deep learning, Mean Field Game Theory, Neural Signals Decoding and Modeling, etc Programs, Schools Applying: Statistics PhD University of Michigan - Ann Arbor University of Minnesota - Twin Cities (Top Choice) Duke University of Washington University of Wisconsin - Madison University of Utah University of Colorado Boulder UCI UC Davis Vanderbilt University George Washington University Johns Hopkins University Virginia Tech UNC Chapel Hill UMASS Amherst Baylor University (Am I aiming too high?) Please give me feedback!