# Session: Whitfield University -- Assistant Professor, Computational Protein Engineering

## Metadata
- **JD file:** `JDs/whitfield_asst_prof_2026.txt`
- **Output folder:** `output/Whitfield_ProteinEng/`
- **Document type:** CV (5-page)
- **Role type:** Academic
- **Secondary:** --
- **Created:** 2026-03-09
- **Status:** Phase 2 complete

---

## Phase 0: JD Analysis

**Position:** Assistant Professor, Department of Biomedical Engineering
**Institution:** Whitfield University (R1 research university)
**Key requirements:**
- ML models for protein stability or design
- Molecular dynamics simulations (GROMACS, OpenMM)
- Protein structure prediction or molecular docking
- Python, HPC, collaborative research
- Publication record in computational biology
- Teaching ability or potential
- Independent research program

**ATS keywords identified:**
machine learning, protein engineering, protein language model, molecular dynamics, GROMACS, drug discovery, free energy, HPC, Python, virtual screening, enhanced sampling, tenure-track

**Bundle selected:** `bundle_academic.md`
**Experience files loaded:** `experience_postdoc_lakewood.md`, `experience_phd_westfield.md`

---

## Phase 1: Bullet Plan

### Postdoc -- Lakewood University (Aug 2023 -- Present) [4 variable bullets]

| Slot | Achievement | Variant | Rationale |
|------|------------|---------|-----------|
| 1 | L1: Enzyme Stability Screening | 2L | Lead bullet -- direct JD match (ML + protein engineering) |
| 2 | L4: Transfer Learning Framework | 2L | Open-source tool, community adoption, JD mentions "collaborative" |
| 3 | L2: Enzyme Solvent Tolerance | 2L | Deepens enzyme engineering focus; industrial applications |
| 4 | L3: Automated Screening Pipeline | 2L | JD requires HPC; infrastructure contribution |

### PhD -- Westfield (Aug 2018 -- Jul 2023) [3 variable bullets]

| Slot | Achievement | Variant | Rationale |
|------|------------|---------|-----------|
| 1 | P1: Enhanced Sampling for Folding | 2L | Method development -- PhD flagship result |
| 2 | P3: Ligand Binding Free Energy | 2L | Shows drug discovery breadth |
| 3 | P4: Stability Database Pipeline | 2L | Data infrastructure; directly enabled postdoc ML work |

### Undergrad Research -- Eastgate (2016 -- 2018) [FIXED, 2 bullets]

**Summary headline:** Computational biologist specializing in ML-guided protein engineering and biomolecular simulation, with 15 publications and open-source tools adopted by 4 external groups.

**Skills section:** 5 groups, 13 lines (4-3-2-2-2 config)

---

## Phase 2: Generation

- **Output file:** `output/Whitfield_ProteinEng/e2e_whitfield_proteineng_cv.tex`
- **Char counts verified:** All 2L bullets within 170--210 rendered chars
- **Page count:** 5 pages (confirmed via budget card)

---

## Decisions Log

1. Chose L1 over L5 as lead bullet -- L5 is a secondary result from the same paper, L1 is the primary contribution.
2. Omitted L6 (mentorship) -- will highlight in teaching statement instead; space better used for L2.
3. Used "Co-developed" for L4 per provenance flag (shared with M. Rivera).
4. Solvent tolerance bullet notes "under review" status per config.md provenance table.
