start to regularize page structure

_trainees/ajtoler.md

@@ -19,3 +19,5 @@ presentations:
  I am a second year graduate student currently working in the UMass Amherst ATLAS group, advised by Carlo Dallapiccola. 
 
 ### Project interests
+
+### Mentors 

_trainees/ashq7.md

@@ -19,3 +19,6 @@ I am a second-year PhD student in the CMS group at Princeton University working
 
 ### Project interests
 I am  working on Phase 2 L1 Calorimeter Trigger upgrades, algorithms and Fast-Machine Learning. 
+
+### Mentors 
+

_trainees/ekauffma.md

@@ -21,3 +21,6 @@ Now as a student at Princeton enrolled in the TAC-HEP program I have taken Intro
 
 ### Project interests
 I am interested in how the field of high energy physics motivates advances in computing. I am currently working on a fast anomaly detection using machine learning in the CMS L1 Trigger. 
+
+### Mentors 
+

_trainees/matthewharri.md

@@ -21,3 +21,6 @@ presentations:
 ### Project interests
 
  I currently work on ACTS (A Common Tracking Software) developing a prototype navigation model for the ATLAS muon spectrometer that could potentially be used for HL-LHC. I also work on a standard model VH physics analysis, more precisely WH(WW) with a three lepton final state.
+
+### Mentors 
+

_trainees/mgorsuch.md

@@ -22,11 +22,11 @@ I am a third year graduate student working in the Observational Cosmology group
 
 Miranda Gorsuch is contributing to the development and testing of novel algorithms for combining multiple optical/near-IR pixel-level images in the same region of the sky to make robust, high signal-to-noise measurements of faint galaxies for weak gravitational lensing and galaxy clustering probes of dark energy with the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). Specifically, she is working on the implementation of the cell-based (or “edgeless”) image coaddition algorithm in the LSST Science Pipelines. Cell-based coadds are substantially more computationally efficient when working with large numbers of overlapping images and enable more robust modeling of the point-spread function (PSF). The approach will be tested and optimized for computational and science performance on increasingly large datasets until it is validated for deployment on survey-scale LSST data release processing.
 
-#### Recent Accomplishments
+### Recent Accomplishments
 - Developed collection of testing analyses for cell-based coadds (in progress) [GitHub link](https://github.com/mirarenee/notebooks/blob/main/cell_coadds/cell_coadd_sandbox.ipynb)
 - Developed an introductory notebook for cell-based coadds (in progress) [GitHub link](https://github.com/mirarenee/notebooks/blob/main/cell_coadds/cell_coadd_intros.ipynb)
 - Aided in testing image warping and coaddition tasks within LSST Science Pipelines
 
-Mentors:
+### Mentors
 - Keith Bechtol (Univeristy of Wisconsin - Madison, advisor)
 - Alex Drlica-Wagner (Fermilab)

_trainees/mmaroun.md

@@ -17,4 +17,6 @@ presentations:
 ### Biography
 
 
-### Project interests
+### Project interests
+
+### Mentors

_trainees/nanoemc.md

@@ -18,17 +18,20 @@ presentations:
 
 I am a graduate student at the University of Wisconsin-Madison working on a PhD in High Energy Experimental Particle Physics with the CMS. I currently work on the Elastic Analysis Facility (EAF) hosted at Fermilab. It is part of the R&D effort to develop high performing analysis tools that we can use for HL-LHC and generally for other future experiments. Specifically I work on developing the Dask setup and system that integrates with Fermilab’s HTCondor system. I hope to improve the way we use Dask so that we can sustain and support many users in an easy to implement way. Other tasks I work on are benchmarking for the EAF, acting as a liaison between the EAF and IRIS-HEP, and I generally aid and support as a member of the EAF applications team. 
 
-#### Recent Accomplishments
+### Recent Accomplishments
 - [Demonstration Video of the EAF](https://indico.cern.ch/event/1291680/contributions/5581053/attachments/2714147/4713730/EAF_Demo_Video_with_audio.mp4) - Combination of the work described, produced for the AGC Demonstration Day
 - [User Documentation for EAF (early version)](https://eafjupyter.readthedocs.io/en/latest/00_getting_started.html) - Early versions of the EAF user documentation, since the EAF is R&D it needs to be updated
 - Successfully adapted AGC Notebook to EAF
 - Aided in Stabilizing Dask Set-up
 - Adapted Coffea Exercises to EAF
 
-Mentors
+### Mentors
 
   * Tulika Bose (University of Wisconsin-Madison)
   * Burt Holtzman (Fermilab>)
   * Maria Acosta Flechas (Fermilab)
-dates 2023-01-24 2025-01-24
+
+### Dates 
+
+  * 2023-01-24 to 2025-01-24
 

_trainees/skkwan.md

@@ -23,4 +23,6 @@ I am very interested in High Level Synthesis and FPGAs. My research includes a s
 
 As a summer project I developed a GELU (Gaussian Error Linear Unit) activation function for a Transformer on an FPGA using HLS. This involved creating high-level descriptions of the key components in C/C++ and using HLS tools to synthesize them into HDL code. The GELU function and Transformer’s self-attention mechanism serve as examples of how to approach this complex task. Properly designing and optimizing these components for FPGA resources and performance is crucial for an efficient implementation. I compared different methods for implementation: one using look up tables and one using DSPs and compared the resource utilization for each method.
 
-Mentors: Jennifer Ngadiuba (Fermilab), Adrian Pol (Princeton, IRIS-HEP)
+### Mentors 
+  * Jennifer Ngadiuba (Fermilab) 
+  * Adrian Pol (Princeton, IRIS-HEP)

_trainees/twnelson0.md

@@ -14,16 +14,16 @@ networks:
 presentations:
 ---
 
-## Project
+### Project
 I am currently working on porting the doublet/triplet seed building code and seed matching code from the CMSSW e/gamma reconstruction algorithm to run on GPUs using the ALPAKA library. The e/gamma pixel matching algorithm was chosen as it comprises 5%-10% of both HLT and offline reconstruction time. The goal of the project is to have a working implementation of the GPU compatible code integrated in CMSSW by the end of this year. Over the past year I have performed efficiency studies on the reconstructed electrons. The efficiency is the ratio of the number of reconstructed electrons using the new algorithm to the number of reconstructed electrons using the old algorithm. These studies also compared the kinematic distributions of the reconstructed electrons and looked at the timing of the different algorithms. These studies have been used to validate the physics performance of the new algorithm. In March of 2024 I participated in the 15th Patatrack hackathon and wrote an initial implementation of an ALPAKA compatible endcap propagator. This function is designed to extrapolate a track that is compatible with an electron whose trajectory is towards one of the two ECAL endcaps. I then integrated this function into the electron seed producer. 
 
-## Mentors
+### Mentors
  * Dr. Charis Koraka (University of Wisconsin-Madison)
  * Dr. Tulika Bose (University of Wisconsin-Madison)
  * Dr. Matti Kortelainen (Fermi Lab)
  * Dr. Andrea Bocci (CERN)
 
-## Dates
+### Dates
 
 1 June, 2022 - 1 June, 2024