DSI Scholars Student Participation Fall 2025

DSI Scholars Program

Student Participation Fall 2025
Fall 2025 Application Instructions

Thank you for your interest in participating in the DSI Scholars Program.

Find details on the program, Fall 2025 projects and more: DSI Scholars | Student Information

APPLICATION DEADLINE:

Sunday, June 8, 2025 [at 11:59 PM]

Eligibility

DSI Scholars projects are open to qualified Columbia University students, regardless of degree program. Students in Columbia affiliate programs (Barnard and Teachers College) are not eligible for this program.

Please note that in order to be considered for Fall 2025 projects, students must be enrolled for Fall 2025 semester. Students that are graduating in May or October 2025 are not eligible for this appliction cycle.

Students are expected to be in NYC and available for in-person research during the program.

Applying to More than One Project

Students are welcome to apply for up to 5 projects per term. You must submit a separate application for each project. If you submit more than 5 applications, we will randomly select 5 of your applications for submission.

Technical Note: The form may time out in your browser. We suggest preparing your application in advance before filling out the form. If you have any issues, please reach out to dsi-scholars@columbia.edu for assistance.
- We encourage you to review the detailed project descriptions to ensure you meet the eligiblity requirements and prerequsites for each project.
  
  Detailed project descriptions and eligibility requirements can be found on the DSI Scholars Projects Page.
  
  REMINDER:
  1. YOU CAN APPLY FOR UP TO 5 PROJECTS.
  2. YOU MUST SUBMIT A NEW APPLICATION FOR EACH PROJECT.
- Please select the project you are applying to:*
  
  PROJECT 1: AI-Driven Mapping of Amyloid-β and Tau Pathology from T1-Weighted MRIPROJECT 2: FamineWatch: Applying Fuzzy Logic to Early Warning Systems for Food Security CrisesPROJECT 3: Evaluating fracture localization ability of vision transformersPROJECT 4: When healthcare professionals are CONCERNed: Leveraging novel data science methods for time series analyses of artificial intelligence usage behaviors in the “CONCERN” clinical trialPROJECT 5: Developing normative blood pressure ranges in hospitalized childrenPROJECT 6: Comparison of Hand-Crafted and Learned Atomic-Structure RepresentationsPROJECT 7: Radiomic Analysis of the Physis on MRI to Predict Longitudinal Growth in Pediatric PatientsPROJECT 8: Multimodal Integration of Neural and Behavioral Time-Series to Reveal Circuit Dysfunction in Psychiatric Disease ModelsPROJECT 9: Integrating Passive Sensing Data and Generative AI for Mental Health Clinical Decision SupportPROJECT 10: Global Energy Modeling with PyPSA-Earth for Sustainable Transition
- Please rank this project*
  Please rank this project. Rank of 1 is top choice. Rank of 5 when applying to 5 projects is the bottom choice.
- Name*
  
  First NameLast Name
- Email*
  Please use your Columbia email.
- UNI*
- Phone Number
  Please enter a valid phone number.
- Current Level of Study*
- School*
- Academic Program or Major*
- Other program name:
- Expected Graduation Date*
  
  MonthDayYear
  Date
- Are you on F1 or J1 visa?*
  
  YesNo
- Will you be a currently enrolled student in the Fall 2025 semester?*
- Is the Fall 2025 semester going to be your first semester as an enrolled student at Columbia?*
  
  YesNo
- If yes, and you are an international student, has your visa been processed?
- Have you previously been selected as a DSI Scholar?*
  
  YesNo
- When?
  Semester and Year (e.g. Spring 2024)
- Programming Experience: Python*
  
  ProficientSome experienceNo experience
- Programming Experience: R*
  
  ProficientSome experienceNo experience
- Please select all the tools and skills you have experience with:*
  
  Artificial IntelligenceData VisualizationDeep LearningGithubImage AnalysisJavaScriptJupyter NotebooksLLM'sMachine LearningMATLABNatural Language ProcessingPyTorchRegression TreesSASSTATAStatisticsTime Series Analysis
- To be considered, you will need to submit the following as part of your application:
  1. Transcripts: A copy of your undergraduate and/or most recent Columbia transcripts.
  2. Resume: A copy of your updated resume that includes all relevant coursework, projects and data science skills.
  3. Personal Statement: Please use the space below to submit a personal statement to explain why you are interested in the specific project and highlight some of your qualifications.
  4. Reference: (Optional) You can provide the contact information for a reference. It should be someone who can comment on your research potential and qualifications for your program.
- Transcript*
  
  Please upload your transcript(s).
  Cancelof
- Resume*
  
  Please note that there are no page restrictions for the resume.
  Cancelof
- Personal Statement *
  Please submit a personal statement for the specific project that you are applying to. Please include the project number and/or title at the top of the personal statement.
- Contact Information for Reference
  Optional
- Please complete the following questions specific to Project 1
- Project 1: Please share a list of your previous publications*
- Project 1: Describe any previous experience with AI in medical imaging.*
- Project 1: Describe any previous experience with LLM or Foundation models.*
- Please complete the following questions specific to Project 2:
- Project 2: Why are you interested in working on the FamineWatch project?*
- Project 2: Describe any experience you have with uncertainty modeling, fuzzy logic, or decision-support tools*
- Project 2: What types of data would you consider most important for anticipating food security crises, and why?*
- Project 2: How would you approach the ethical risks of building a model that could influence real-world humanitarian decisions?
  Optional
- Please complete the following questions specific to Project 3:
- Project 3: Have you had any prior experience working with deep learning-based image classification models, object detection, or vision transformers? What frameworks have you found useful previously?*
- Project 3: I want to ensure that you achieve your goals during this project. What is the primary thing that you would like to gain from this experience? For example, different individuals might be most interested in the technical details of applying these models, in obtaining domain experience working with healthcare imaging data, or in how to translate the analysis performed into a research paper.*
- Please complete the following questions specific to Project 4:
- Project 4: Please describe your experience working with healthcare data, especially any experience with electronic health records.*
- Project 4: Please discuss any experience you have with time series analyses, clustering methods, and/or NLP.*
- Please complete the following questions specific to Project 5:
- P5: What is your motivation to work with healthcare data?*
- P5: Do you have previous experience working with either health data or longitudinal data?*
- P5: Do you have previous experience contributing to (or writing) scientific manuscripts?*
- Please complete the following questions specific to Project 6:
  
  Note | Scale:
  - 1 (Low/Novice): Minimal knowledge or experience, basic understanding.
  - 2 (Beginner/Developing): Limited experience, basic knowledge of key aspects.
  - 3 (Competent/Satisfactory): Good working knowledge, able to perform tasks with some guidance.
  - 4 (Proficient/Advanced): Advanced skills, able to handle complex tasks and solve problems.
  - 5 (Expert/Outstanding): Recognized authority, consistently exceeds expectations.
- P6: Rate your programming experience in Python.*
  
  1
  
  2
  
  3
  
  4
  
  5
  
  1 is Low/Novice, 5 is Outstanding
- P6: Rate your experience with PyTorch.*
  
  1
  
  2
  
  3
  
  4
  
  5
  
  1 is Low/Novice, 5 is Outstanding
- Please complete the following questions specific to Project 7:
- P7: Do you have any experience with Python? *
- P7: Do you have any experience with R, SPSS, or any other statistical software?*
- Please complete the following questions specific to Project 8:
- P8: Do you have prior experience analyzing time-series data?*
  
  YesNo
- P8: If yes, please briefly describe the type of data and analysis methods used.*
- P8: Do you have prior experience working with neural data (e.g., electrophysiology, calcium imaging, fMRI)?*
  
  YesNo
- P8: If yes, please specify the modality and nature of the analyses performed.*
- P8: Do you have experience implementing Fourier analysis (e.g., for signal processing or frequency-domain analysis)?*
  
  YesNo
- P8: If yes, please indicate the context and tools used (e.g., Python, MATLAB).*
- Please complete the following questions specific to Project 9:
- P9: Please introduce a project where you utilized the most advanced data analysis techniques.*
- P9: Please explain your prior research and/or personal experience relevant to this project related to mental health and mobile sensing.*
- Please complete the following questions specific to Project 10:
- P10: Why are you interested in energy/climate economics? Do you have any previous experience with economic models or energy models (e.g., CGE, IAMs, PyPSA‑Earth, OSeMOSYS, TIMES)?*
- P10: Do you have any previous experience working with open-source projects? Which ones and in what capacity?*
- P10: Do you have any previous experience with computational optimization, potentially even mixed-integer linear programs (MILP) in Gurobi?*
- BE SURE TO RECONFIRM THE PROJECT YOU SELECTED BEFORE YOU SUBMIT.
- Should be Empty:

DSI Scholars Program

Fall 2025 Application Instructions